基本信息
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职业迁徙
个人简介
Education Indian Institute of Technology, Kharagpur, India (May 2000)
B.Sc. in Mathematics and Computing, (GPA 8.38/10.00)
Indian Institute of Technology, Kharagpur, India (May 2002)
M.Sc. in Mathematics and Computing, (GPA 8.63/10.00) Advisor: Prof. Pawan Kumar
University of California, Santa Barbara, California (Dec 2006)
Ph.D. in Computer Science, (GPA 3.98/4.00)
Academic
Honors
President of India Silver Medal for Outstanding Academic Achievement at Indian Institute
of Technology (2002)
J. C. Ghosh Memorial Award at Indian Institute of Technology (Highest GPA in Mathematics
and Computing) (2002)
President’s Work Study Award for 2004-2005, UCSB (2004)
Research formed part of successful NSF Proposal titled “Scalable, Multimodal Algorithms
for Multimedia Information Retrieval” (IIS-0535085) (2006)
Publications Journal Papers:
• KDX: An Indexer for Support Vector Machines,
Navneet Panda and Edward Y. Chang
(Transactions of Knowledge and Data Engineering, TKDE June 2006)
• Active Learning in Very Large Databases,
Navneet Panda, Kingshy Goh and Edward Y. Chang (Journal of Multimedia Tools
and Applications Special Issue on Computer Vision Meets Databases)
Conference Full Papers:
• Efficient Top-k Hyperplane Query Processing for Multimedia Information Retrieval
Navneet Panda and Edward Y. Chang
(ACM International Conference on Multimedia, MM Oct. 2006)
• Concept Boundary Detection for Speeding up SVMs
Navneet Panda, Edward Y. Chang and Gang Wu
(International Conference on Machine Learning, ICML June 2006)
• Exploiting Geometry for Support Vector Machine Indexing,
Navneet Panda and Edward Y. Chang
(SIAM International Conference on Data Mining, SDM April 2005)
• Hypersphere Indexer,
Navneet Panda, Edward Y. Chang, and Arun Qamra
(Database and Expert Systems Applications, DEXA Sep. 2006)
• Formulating Context-dependent Similarity Functions,
Gang Wu, Navneet Panda and Edward Y. Chang
(ACM International Conference on Multimedia, MM 2005)
Short Papers:
• Formulating Distance Functions via the Kernel Trick
Gang Wu, Navneet Panda and Edward Y. Chang
(ACM Intl. Conference on Data Mining and Knowledge Discovery, KDD 2005)
Submitted Papers:
• Approximate SVM Classification for Data Streams
Navneet Panda and Ching-Yung Lin (IBM Technical Report, Aug 2005)
• Improving Accuracy of SVMs by Allowing Support Vector Control,
Navneet Panda, Gang Wu and Edward Y. Chang (UCSB Technical Report, 2004)
Masters Thesis: Scheduling Algorithms for hierarchical and non-hierarchical tasks in a
distributed environment
Professional
Experience
Summer Intern:
• IBM T. J. Watson Research Center, Hawthorne, New York (June 2005 - Sep 2005)
Speeding up classification of streaming data using SVMs: Developed fast approximate
techniques for classification of video content from television. The twin goals
of speed and accuracy were achieved by clustering the support vectors and optimal
weighting of cluster centers.
Reference: Ching-Yung Lin and Lisa D. Amini
• Intel Research, Santa Clara, California (June 2006 - Sep 2006)
Improving quality and speed of image retrieval in personalized un-annotated databases:
Given a collection of un-annotated personal images the goal was to use exemplars
readily available from the web in order to search within the personal collection.
Developed fast accurate concept detector to extract relevant content from web exemplars
which was then used to retrieve similar images from personal collection.
Reference: Available on request
Research Assistant: Multimedia Database Group, University of California, Santa Barbara
(Sep 2003-present) Advisor: Edward Y. Chang
Patents Website Duration Performance Based on Category Durations,
Navneet Panda, James A. Kunz (Google Inc.) (Granted 9,171,086)
Selectively Generating Alternative Queries,
Navneet Panda, April R. Lehman, Trystan G. Upstill (Google Inc.) (Granted 9,135,307)
Site Quality Score
April R. Lehman and Navneet Panda (Google Inc.) (Granted 9,031,929)
Learning Concept Templates from Web Images to Query Personal Image Databases,
Navneet Panda, Yi Y. Wu, Jean-Yves Bouguet, Ara Nefian (Granted 8,958,661)
Ranking Search Results,
Navneet Panda and Vladimir Ofitserov (Google Inc.) (Granted 8,682,892)
Locally Significant Search Queries,
Trystan G. Upstill, Oleksander Grushetskyy, Andrei Damian, Navneet Panda and Aysel
Ozgur (Google Inc.) (pending)
研究兴趣
论文共 11 篇作者统计合作学者相似作者
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MM06: The 14th ACM International Conference on Multimedia 2006
Santa Barbara
CA
USA
October, 2006pp.317-326, (2006)
Scalable techniques for the application of machine learning to large datasets (2006)
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IEEE Transactions on Knowledge and Data Engineeringno. 6 (2006): 748-763
Multimedia Tools and Applicationsno. 3 (2006): 249-267
ICMLpp.681-688, (2006)
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data miningpp.703-709, (2005)
Proceedings of the 13th annual ACM international conference on Multimediapp.725-734, (2005)
msra(2004)
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