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» Small codes and large image databases for recognition
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CVPR
2005
IEEE
14 years 9 months ago
Learning a Similarity Metric Discriminatively, with Application to Face Verification
We present a method for training a similarity metric from data. The method can be used for recognition or verification applications where the number of categories is very large an...
Sumit Chopra, Raia Hadsell, Yann LeCun
FGR
1998
IEEE
170views Biometrics» more  FGR 1998»
13 years 12 months ago
Feature-Point Tracking by Optical Flow Discriminates Subtle Differences in Facial Expression
Current approaches to automated analysis have focused on a small set of prototypic expressions (e.g., joy or anger). Prototypic expressions occur infrequently in everyday life, ho...
Jeffrey F. Cohn, Adena J. Zlochower, James Jenn-Ji...
CIVR
2007
Springer
119views Image Analysis» more  CIVR 2007»
14 years 1 months ago
An in-memory relevance feedback technique for high-performance image retrieval systems
Content-based image retrieval with relevant feedback has been widely adopted as the query model of choice for improved effectiveness in image retrieval. The effectiveness of thi...
Ning Yu, Khanh Vu, Kien A. Hua
MM
2004
ACM
170views Multimedia» more  MM 2004»
14 years 1 months ago
Effective automatic image annotation via a coherent language model and active learning
Image annotations allow users to access a large image database with textual queries. There have been several studies on automatic image annotation utilizing machine learning techn...
Rong Jin, Joyce Y. Chai, Luo Si
ECCV
2002
Springer
14 years 9 months ago
An Affine Invariant Interest Point Detector
This paper presents a novel approach for detecting affine invariant interest points. Our method can deal with significant affine transformations including large scale changes. Such...
Krystian Mikolajczyk, Cordelia Schmid