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CVPR
2010
IEEE
16 years 2 months ago
Optimizing One-Shot Recognition with Micro-Set Learning
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
Kevin Tang, Marshall Tappen, Rahul Sukthankar, Chr...
NECO
1998
151views more  NECO 1998»
15 years 5 months ago
Nonlinear Component Analysis as a Kernel Eigenvalue Problem
We describe a new method for performing a nonlinear form of Principal Component Analysis. By the use of integral operator kernel functions, we can e ciently compute principal comp...
Bernhard Schölkopf, Alex J. Smola, Klaus-Robe...
ACL
2012
13 years 8 months ago
Learning to Find Translations and Transliterations on the Web
In this paper, we present a new method for learning to finding translations and transliterations on the Web for a given term. The approach involves using a small set of terms and ...
Joseph Z. Chang, Jason S. Chang, Jyh-Shing Roger J...
ICIP
2008
IEEE
16 years 7 months ago
Image retrieval and classification using associative reciprocal-image attractors
In this paper, image processing and symbol processing are bridged with a common framework. A new computational architecture allows arbitrary fixed images to be used as attractors ...
Douglas S. Greer, Mihran Tuceryan
ISVC
2009
Springer
16 years 14 days ago
Level Set Gait Analysis for Synthesis and Reconstruction
We describe a new technique to extract the boundary of a walking subject, with ability to predict movement in missing frames. This paper uses a level sets representation of the tra...
Muayed S. Al-Huseiny, Sasan Mahmoodi, Mark S. Nixo...