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ORCIDHarish Karnick
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Journal Articles
- 2018
[j5]Waquar Ahmad
, Harish Karnick, Rajesh M. Hegde:
Client-wise cohort set selection by combining speaker- and phoneme-specific I-vectors for speaker verification. Multim. Tools Appl. 77(7): 8273-8294 (2018)- 2008
- [j4]Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
Kernel-based online machine learning and support vector reduction. Neurocomputing 71(7-9): 1230-1237 (2008) - [j3]V. Vijaya Saradhi, Harish Karnick:
On the stability and bias-variance analysis of sparse SVMs. Neurocomputing 72(1-3): 659-663 (2008) - 1991
- [j2]K. S. H. S. R. Bhatta, Harish Karnick:
A Resolution Rule for Well-Formed Formulae. Theor. Comput. Sci. 81(2): 223-235 (1991) - 1988
- [j1]R. Mahesh K. Sinha, Harish Karnick:
PLANG based specification of patterns with variations for pictorial data bases. Comput. Vis. Graph. Image Process. 43(1): 98-110 (1988)
Conference and Workshop Papers
- 2023
- [c42]Abhirup Chattopadhyay, Harish Karnick, Narayanan Srinivasan:
Asymmetry in Political Information Processing: Congruency-based reasoning in belief revision and political decision making. CogSci 2023 - 2021
- [c41]Vivek Gupta, Prerna Bharti, Pegah Nokhiz, Harish Karnick:
SumPubMed: Summarization Dataset of PubMed Scientific Articles. ACL (student) 2021: 292-303 - 2020
- [c40]Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai:
Deep Attentive Ranking Networks for Learning to Order Sentences. AAAI 2020: 8115-8122 - [c39]Rithwik Cherian, Harish Karnick:
Color Categorization and Naming in Normal, Deficient, and Mixed Populations Using Agent Based Modelling. CogSci 2020 - [c38]Neelabja Roy, Harish Karnick, Ark Verma:
Evidence of Self - Referential Prioritization on the basis of Visual Features: Attributing Salience to Rule - Learning. CogSci 2020 - [c37]Sri Nath Dwivedi, Harish Karnick, Renu Jain:
Relation Classification: How Well Do Neural Network Approaches Work? KGSWC 2020: 102-112 - 2019
- [c36]Vivek Gupta, Rahul Wadbude, Nagarajan Natarajan, Harish Karnick, Prateek Jain, Piyush Rai:
Distributional Semantics Meets Multi-Label Learning. AAAI 2019: 3747-3754 - [c35]Ankur Singh, Anurag Chanani, Harish Karnick:
Video Colorization Using CNNs and Keyframes Extraction: An Application in Saving Bandwidth. CVIP (2) 2019: 190-198 - 2018
- [c34]Shibhansh Dohare, Vivek Gupta, Harish Karnick:
Unsupervised Semantic Abstractive Summarization. ACL (3) 2018: 74-83 - [c33]Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Harish Karnick:
User bias removal in review score prediction. COMAD/CODS 2018: 175-179 - 2017
- [c32]Amartya Sanyal, Sanjana Garg, Asim Unmesh, Harish Karnick:
Agent based simulation of the evolution of society as an alternate maximzation problem. BESC 2017: 1-7 - [c31]Dheeraj Mekala, Vivek Gupta, Bhargavi Paranjape, Harish Karnick:
SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations. EMNLP 2017: 659-669 - 2016
- [c30]Sujith Thomas, Harish Karnick:
Factors Influencing Categorization Strategy in Visual Category Learning. CogSci 2016 - [c29]Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala:
Product Classification in E-Commerce using Distributional Semantics. COLING 2016: 536-546 - [c28]Piyush Bhardwaj, Harish Karnick:
Efficient low rank approximation via alternating least squares for scalable kernel learning. ESANN 2016 - [c27]Vasu Sharma, Harish Karnick:
Automatic tagging and retrieval of E-Commerce products based on visual features. SRW@HLT-NAACL 2016: 22-28 - 2015
- [c26]Gaurush Hiranandani, Harish Karnick:
Improved Classification and Reconstruction by Introducing Independence and Randomization in Deep Neural Networks. DICTA 2015: 1-8 - [c25]Siddharth Agarwal, Harish Karnick, Nirmal Pant, Urvesh Patel:
Genre and Style Based Painting Classification. WACV 2015: 588-594 - 2014
- [c24]Waquar Ahmad, Harish Karnick, Rajesh M. Hegde:
Large margin nearest neighborhood metric learning for i-vector based speaker verification. ACSSC 2014: 827-832 - [c23]Waquar Ahmad, Harish Karnick, Rajesh M. Hegde:
Voice based biometric authentication using collapsing classes discriminative space transform. ISSPIT 2014: 1-6 - [c22]Waquar Ahmad, Harish Karnick, Rajesh M. Hegde:
Cosine Distance Metric Learning for Speaker Verification Using Large Margin Nearest Neighbor Method. PCM 2014: 294-303 - 2013
- [c21]Jaydeep Sen, Harish Karnick:
Informed Weighted Random Projection for Dimension Reduction. ADMA (2) 2013: 433-442 - [c20]Pranay Dighe, Parul Agarwal, Harish Karnick, Siddartha Thota, Bhiksha Raj:
Scale independent raga identification using chromagram patterns and swara based features. ICME Workshops 2013: 1-4 - [c19]Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick:
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. ICML (3) 2013: 441-449 - [c18]Parul Agarwal, Harish Karnick, Bhiksha Raj:
A Comparative Study Of Indian And Western Music Forms. ISMIR 2013: 29-34 - [c17]Pranay Dighe, Harish Karnick, Bhiksha Raj:
Swara Histogram Based Structural Analysis And Identification Of Indian Classical Ragas. ISMIR 2013: 35-40 - [c16]Sumit Bhagwani, Shrutiranjan Satapathy, Harish Karnick:
Merging Word Senses. TextGraphs@EMNLP 2013: 11-19 - 2012
- [c15]Sumit Bhagwani, Shrutiranjan Satapathy, Harish Karnick:
sranjans : Semantic Textual Similarity using Maximal Weighted Bipartite Graph Matching. SemEval@NAACL-HLT 2012: 579-585 - [c14]Purushottam Kar, Harish Karnick:
Random Feature Maps for Dot Product Kernels. AISTATS 2012: 583-591 - 2008
- [c13]Kumar Abhishek, Harish Karnick:
GO Based Hierarchical Framework for Inference of Gene Regulatory Networks. BIOCOMP 2008: 220-225 - [c12]V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra:
Topic Distillation using Support Vector Data Description. COMAD 2008: 93-103 - 2007
- [c11]V. Vijaya Saradhi, Harish Karnick:
On the Stability and Bias-Variance Analysis of Kernel Matrix Learning. Canadian AI 2007: 441-451 - [c10]Kumar Abhishek, Harish Karnick:
GO Based Inference of Gene Regulatory Networks from Gene Expression Data. BIOCOMP 2007: 139-145 - [c9]Sumeet Agarwal, V. Vijaya Saradhi, Harish Karnick:
Kernel-based online machine learning and support vector reduction. ESANN 2007: 343-348 - [c8]Pallavi Palleti, Harish Karnick, Pabitra Mitra:
Personalized Web Search Using Probabilistic Query Expansion. Web Intelligence/IAT Workshops 2007: 83-86 - [c7]V. Vijaya Saradhi, Harish Karnick:
Error Estimation for Kernel Matrix Learning Through Leave-One-Out-Kernel Bootstrap. IICAI 2007: 1071-1088 - [c6]V. Vijaya Saradhi, Harish Karnick:
Classifier Complexity Reduction by Support Vector Pruning in Kernel Matrix Learning. IWANN 2007: 268-275 - 2005
- [c5]Gaurav Pandey, Ankit Anand, Harish Karnick:
EUCLID: A System for the Exploratory Discovery of Geometrical Properties of Triangles. IICAI 2005: 2759-2776 - [c4]Rupesh R. Mehta, Pabitra Mitra, Harish Karnick:
Extracting semantic structure of web documents using content and visual information. WWW (Special interest tracks and posters) 2005: 928-929 - 2003
- [c3]Vibhanshu Abhishek, Amitabha Mukerjee, Harish Karnick:
Artificial ontogenesis of controllers for robotic behavior using VLG GA. SMC 2003: 3376-3383 - 1989
- [c2]Navin Budhiraja, Subrata Mitra, Harish Karnick, Rajeev Sangal:
Parsing Generalized Phrase Structure Grammar with Dynamic Expansion. IWPT 1989: 458-467 - 1988
- [c1]K. S. H. S. R. Bhatta, Harish Karnick:
A Resolution Rule for Well-Formed Formulae. FSTTCS 1988: 400-418
Informal and Other Publications
- 2020
- [i12]Pawan Kumar, Dhanajit Brahma, Harish Karnick, Piyush Rai:
Deep Attentive Ranking Networks for Learning to Order Sentences. CoRR abs/2001.00056 (2020) - [i11]Satyandra Guthula, Sunil Simon, Harish Karnick:
Analysis of Agricultural Policy Recommendations using Multi-Agent Systems. CoRR abs/2008.04947 (2020) - 2018
- [i10]Dheeraj Mekala, Vivek Gupta, Purushottam Kar, Harish Karnick:
Bayes-optimal Hierarchical Classification over Asymmetric Tree-Distance Loss. CoRR abs/1802.06771 (2018) - [i9]Ankur Singh, Anurag Chanani, Harish Karnick:
Video Colorization using CNNs and Keyframes extraction: An application in saving bandwidth. CoRR abs/1812.03858 (2018) - 2017
- [i8]Shibhansh Dohare, Harish Karnick:
Text Summarization using Abstract Meaning Representation. CoRR abs/1706.01678 (2017) - [i7]Rahul Wadbude, Vivek Gupta, Piyush Rai, Nagarajan Natarajan, Harish Karnick:
Leveraging Distributional Semantics for Multi-Label Learning. CoRR abs/1709.05976 (2017) - 2016
- [i6]Vivek Gupta, Harish Karnick, Ashendra Bansal, Pradhuman Jhala:
Product Classification in E-Commerce using Distributional Semantics. CoRR abs/1606.06083 (2016) - [i5]Dheeraj Mekala, Vivek Gupta, Harish Karnick:
Text classification with sparse composite document vectors. CoRR abs/1612.06778 (2016) - [i4]Rahul Wadbude, Vivek Gupta, Dheeraj Mekala, Janish Jindal, Harish Karnick:
User Bias Removal in Fine Grained Sentiment Analysis. CoRR abs/1612.06821 (2016) - 2013
- [i3]Purushottam Kar, Harish Karnick:
On Translation Invariant Kernels and Screw Functions. CoRR abs/1302.4343 (2013) - [i2]Purushottam Kar, Bharath K. Sriperumbudur, Prateek Jain, Harish Karnick:
On the Generalization Ability of Online Learning Algorithms for Pairwise Loss Functions. CoRR abs/1305.2505 (2013) - 2012
- [i1]Purushottam Kar, Harish Karnick:
Random Feature Maps for Dot Product Kernels. CoRR abs/1201.6530 (2012)
Coauthor Index
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