![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Keisuke Kameyama
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
- [c40]Takumi Morikawa, Keisuke Kameyama:
Multi-Stage Model Compression using Teacher Assistant and Distillation with Hint-Based Training. PerCom Workshops 2022: 484-490 - [c39]U. A. Md. Ehsan Ali
, Keisuke Kameyama:
Informative Band Subset Selection for Hyperspectral Image Classification using Joint and Conditional Mutual Information. SSCI 2022: 573-580 - 2021
- [j16]Yusuke Taguchi, Hideitsu Hino
, Keisuke Kameyama:
Pre-Training Acquisition Functions by Deep Reinforcement Learning for Fixed Budget Active Learning. Neural Process. Lett. 53(3): 1945-1962 (2021) - [c38]Keita Ogawa, Keisuke Kameyama:
Adaptive Selection of Classifiers for Person Recognition by Iris Pattern and Periocular Image. ICONIP (4) 2021: 656-667
2010 – 2019
- 2019
- [c37]Yusuke Taguchi, Keisuke Kameyama, Hideitsu Hino:
Active Learning with Interpretable Predictor. IJCNN 2019: 1-8 - 2018
- [j15]Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama:
Cube-Based Encryption-then-Compression System for Video Sequences. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. 101-A(11): 1815-1822 (2018) - [j14]Houssem Chatbri, Keisuke Kameyama, Paul Kwan
, Suzanne Little, Noel E. O'Connor:
A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval. Multim. Tools Appl. 77(21): 28925-28948 (2018) - [c36]Kosuke Shimizu, Taizo Suzuki, Keisuke Kameyama:
Lapped Cuboid-based Perceptual Encryption for Motion JPEG Standard. APSIPA 2018: 2022-2026 - [c35]Shota Utsumi, Keisuke Kameyama:
Parallel Cooperative Ensemble Learning by Adaptive Data Weighting and Error-Correcting Output Codes. ICONIP (3) 2018: 673-683 - [c34]Keisuke Horiuchi, Keisuke Kameyama:
Parameter Density Inheritance Using Kernel Density Estimation for Efficient CNN Learning. ISSPIT 2018: 308-313 - 2017
- [c33]Houssem Chatbri, Marlon Oliveira, Kevin McGuinness
, Suzanne Little, Keisuke Kameyama, Paul Kwan
, Alistair Sutherland, Noel E. O'Connor:
Educational video classification by using a transcript to image transform and supervised learning. IPTA 2017: 1-6 - [c32]Houssem Chatbri, Kevin McGuinness
, Suzanne Little, Jiang Zhou, Keisuke Kameyama, Paul Kwan
, Noel E. O'Connor:
Automatic MOOC Video Classification using Transcript Features and Convolutional Neural Networks. MultiEdTech@MM 2017: 21-26 - 2016
- [j13]Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
:
A comparative study using contours and skeletons as shape representations for binary image matching. Pattern Recognit. Lett. 76: 59-66 (2016) - 2015
- [c31]Houssem Chatbri, Keisuke Kameyama, Paul Kwan
:
Towards a segmentation and recognition-free approach for content-based document image retrieval of handwritten queries. ACPR 2015: 146-150 - [c30]Keisuke Kameyama, Trung Nguyen Bao Phan, Miharu Aizawa:
Noise-Robust Iris Authentication Using Local Higher-Order Moment Kernels. ICONIP (4) 2015: 419-427 - [c29]Houssem Chatbri, Kenny Davila
, Keisuke Kameyama, Richard Zanibbi
:
Shape matching using keypoints extracted from both the foreground and the background of binary images. IPTA 2015: 205-210 - [c28]Houssem Chatbri, Keisuke Kameyama:
Document image dataset indexing and compression using connected components clustering. MVA 2015: 267-270 - 2014
- [j12]Houssem Chatbri, Keisuke Kameyama:
Using scale space filtering to make thinning algorithms robust against noise in sketch images. Pattern Recognit. Lett. 42: 1-10 (2014) - [c27]Houssem Chatbri, Paul Wing Hing Kwan
, Keisuke Kameyama:
A modular approach for query spotting in document images and its optimization using genetic algorithms. IEEE Congress on Evolutionary Computation 2014: 2085-2092 - [c26]Houssem Chatbri, Paul Wing Hing Kwan
, Keisuke Kameyama:
An Application-Independent and Segmentation-Free Approach for Spotting Queries in Document Images. ICPR 2014: 2891-2896 - 2013
- [c25]Houssem Chatbri, Keisuke Kameyama, Paul Wing Hing Kwan
:
Sketch-Based Image Retrieval by Size-Adaptive and Noise-Robust Feature Description. DICTA 2013: 1-8 - [c24]Keisuke Kameyama, Wataru Matsumoto:
Composite Color Invariant Feature H′ Applied to Image Matching. ICONIP (3) 2013: 401-408 - [c23]Keisuke Kameyama, Trung Nguyen Bao Phan:
Image Feature Extraction and Similarity Evaluation Using Kernels for Higher-Order Local Autocorrelation. ICONIP (3) 2013: 442-449 - [c22]Wataru Matsumoto, Keisuke Kameyama:
Joint use of luminance and color invariants in partial image retrieval. ISPACS 2013: 602-607 - 2012
- [j11]Masaki Kobayashi, Keisuke Kameyama:
A Composite Illumination Invariant Color Feature and Its Application to Partial Image Matching. IEICE Trans. Inf. Syst. 95-D(10): 2522-2532 (2012) - [c21]Houssem Chatbri, Keisuke Kameyama:
Towards making thinning algorithms robust against noise in sketch images. ICPR 2012: 3030-3033 - 2011
- [j10]Paul Wing Hing Kwan
, Keisuke Kameyama, Junbin Gao
, Kazuo Toraichi:
Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives. Int. J. Pattern Recognit. Artif. Intell. 25(5): 643-673 (2011) - 2010
- [j9]Shunsuke Sakai, Toru Nozaki, Keisuke Kameyama:
Speaker Verification Using Weighted Local MFCC Features Extracted by Minimum Verification Error Learning. Aust. J. Intell. Inf. Process. Syst. 12(3) (2010) - [j8]Paul Wing Hing Kwan
, Junbin Gao
, Yi Guo, Keisuke Kameyama:
A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback. Int. J. Pattern Recognit. Artif. Intell. 24(1): 15-38 (2010) - [c20]Toru Nozaki, Keisuke Kameyama:
Feature selection for user-adaptive content-based music retrieval using Particle Swarm Optimization. ISDA 2010: 941-946
2000 – 2009
- 2009
- [j7]Keisuke Kameyama:
Particle Swarm Optimization - A Survey. IEICE Trans. Inf. Syst. 92-D(7): 1354-1361 (2009) - [j6]Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi, Yasuhiro Ohmiya:
A Function Approximation Method for Images with Grading Regions. Int. J. Image Graph. 9(1): 101-119 (2009) - [c19]Nozomi Oka, Keisuke Kameyama:
Relevance tuning in content-based retrieval of structurally-modeled images using Particle Swarm Optimization. CIMSIVP 2009: 75-82 - 2008
- [c18]Shunsuke Sakai, Keisuke Kameyama:
Content-based music retrieval with nonlinear feature space transformation using relevance feedback. SMC 2008: 1379-1384 - [c17]Masaki Kobayashi, Keisuke Kameyama:
User-adaptive image clustering using relevance feedback for efficient content-based retrieval. SMC 2008: 2683-2688 - 2007
- [c16]Mayuko Okayama, Nozomi Oka, Keisuke Kameyama:
Relevance Optimization in Image Database Using Feature Space Preference Mapping and Particle Swarm Optimization. ICONIP (2) 2007: 608-617 - [c15]Keisuke Kameyama:
Comparison of Local Higher-Order Moment Kernel and Conventional Kernels in SVM for Texture Classification. ICONIP (1) 2007: 851-860 - [c14]Yasutomo Kimura, Kenji Ishida, Hirotaka Imaoka, Fumito Masui, Keisuke Kameyama, Rafal Rzepka, Kenji Araki:
How We Did How, What and Why - HOMIO's Participation in QAC4 of NTCIR-6. NTCIR 2007 - 2006
- [j5]Keisuke Kameyama, Soo-Nyoun Kim, Michiteru Suzuki, Kazuo Toraichi, Takashi Yamamoto:
Content-Based Image Retrieval of Kaou Images by Relaxation Matching of Region Features. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 14(4): 509-523 (2006) - [c13]Keisuke Kameyama, Nozomi Oka, Kazuo Toraichi:
Optimal Parameter Selection in Image Similarity Evaluation Algorithms Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation 2006: 1079-1086 - [c12]Masakazu Higuchi, Shuji Kawasaki, Keisuke Kameyama, Yasuo Morooka, Kazuo Toraichi:
Quality Improvement of MP3 Encoded Audio Reproduction using Fluency Locally Supported Sampling Function for Use in Cell Phones. MDM 2006: 142 - [c11]Kentaro Miyamoto, Tetsuo Kamina, Tetsuo Sugiyama, Keisuke Kameyama, Kazuo Toraichi:
An Image Segmentation Method for Function Approximation of Gradation Images. SPPRA 2006: 238-243 - [c10]Atsushi Fujii, Keisuke Kameyama, Tetsuo Kamina, Yasuhiro Ohmiya, Kazuo Toraichi:
Image Resolution Conversion by Optimized Adaptation of Interpolation Kernels. SPPRA 2006: 274-279 - 2005
- [c9]Hironori Aokage, Keisuke Kameyama, Koichi Wada:
Image Interpolation using Feedforward Neural Network. Artificial Intelligence and Applications 2005: 861-866 - 2003
- [j4]Paul Wing Hing Kwan
, Keisuke Kameyama, Kazuo Toraichi:
On a relaxation-labeling algorithm for real-time contour-based image similarity retrieval. Image Vis. Comput. 21(3): 285-294 (2003) - [c8]Paul Wing Hing Kwan
, Kazuo Toraichi, Hiroyuki Kitagawa, Keisuke Kameyama:
Approximate Query Processing for a Content-Based Image Retrieval Method. DEXA 2003: 517-526 - 2002
- [j3]Keisuke Kameyama, Kazuo Toraichi, Yukio Kosugi:
Constructive Relaxation Matching Involving Dynamical Model Switching and Its Application to Shape Matching. Int. J. Image Graph. 2(4): 655-668 (2002) - [c7]Paul Wing Hing Kwan, Kazuo Toraichi, Keisuke Kameyama, Fumio Kawazoe, Koji Nakamura:
TAST-Trademark Application Assistant. ICIP (1) 2002: 884-887 - [c6]Tomoyuki Takahashi, Kazuo Toraichi, Keisuke Kameyama, Koji Nakamura:
A Smooth Interpolation Method for Nonuniform Samples Based on Sampling Functions Composed of Piecewise Polynomials. IEEE Pacific Rim Conference on Multimedia 2002: 417-424 - 2001
- [c5]Paul Wing Hing Kwan, Keisuke Kameyama, Kazuo Toraichi:
Connecting Image Similarity Retrieval with Consistent Labeling Problem by Introducing a Match-all Label. FUZZ-IEEE 2001: 1384-1387
1990 – 1999
- 1999
- [c4]Keisuke Kameyama, Yukio Kosugi:
Semiconductor defect classification using hyperellipsoid clustering neural networks and model switching. IJCNN 1999: 3505-3510 - 1997
- [c3]Keisuke Kameyama, Kenzo Mori, Yukio Kosugi:
A neural network incorporating adaptive Gabor filters for image texture classification. ICNN 1997: 1523-1528 - 1996
- [j2]Keisuke Kameyama, Toshikazu Inoue, Igor Yu. Demin, Koichi Kobayashi, Takuso Sato:
Acoustical tissue nonlinearity characterization using bispectral analysis. Signal Process. 53(2-3): 117-131 (1996) - [c2]Yukio Kosugi, Yusuke Suganami, Naoko Uemoto, Keisuke Kameyama, Mikiya Sase, Toshimitsu Momose, Junichi Nishikawa:
CCE-based index selection for neuro assisted MR-image segmentation. ICIP (2) 1996: 249-252 - 1995
- [j1]Iren Valova, Keisuke Kameyama, Yukio Kosugi:
Image Decomposition by Answer-in-Weights Neural Network. IEICE Trans. Inf. Syst. 78-D(9): 1221-1224 (1995) - 1994
- [c1]Masashi Sakamoto, Keisuke Kameyama, Katsuyuki Kuwano, Takuso Sato:
Movement Tracer System Using Non-Parallel Multiple Line Detectors and High Order Correlation Analysis. MVA 1994: 178-181
Coauthor Index
aka: Paul Kwan
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-04-24 23:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint