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» Learning Generative Models via Discriminative Approaches
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ICCV
2005
IEEE
14 years 2 months ago
An Integrated Framework for Image Segmentation and Perceptual Grouping
This paper presents an efficient algorithm for image segmentation and a framework for perceptual grouping. It makes an attempt to provide one way of combining bottomup and top-do...
Zhuowen Tu
CVPR
2008
IEEE
14 years 11 months ago
Face tracking and recognition with visual constraints in real-world videos
We address the problem of tracking and recognizing faces in real-world, noisy videos. We track faces using a tracker that adaptively builds a target model reflecting changes in ap...
Minyoung Kim, Sanjiv Kumar, Vladimir Pavlovic, Hen...
CIG
2006
IEEE
14 years 3 months ago
Evolving Adaptive Play for the Game of Spoof Using Genetic Programming
Abstract— Many games require opponent modelling for optimal performance. The implicit learning and adaptive nature of evolutionary computation techniques offer a natural way to d...
Mark Wittkamp, Luigi Barone
PRL
2008
181views more  PRL 2008»
13 years 9 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
ICDM
2009
IEEE
156views Data Mining» more  ICDM 2009»
13 years 6 months ago
Scalable Classification in Large Scale Spatiotemporal Domains Applied to Voltage-Sensitive Dye Imaging
We present an approach for learning models that obtain accurate classification of large scale data objects, collected in spatiotemporal domains. The model generation is structured ...
Igor Vainer, Sarit Kraus, Gal A. Kaminka, Hamutal ...