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» Multiple Object Class Detection with a Generative Model
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BIOINFORMATICS
2005
140views more  BIOINFORMATICS 2005»
15 years 4 months ago
Profile-based direct kernels for remote homology detection and fold recognition
Motivation: Remote homology detection between protein sequences is a central problem in computational biology. Supervised learning algorithms based on support vector machines are ...
Huzefa Rangwala, George Karypis
ECCV
2004
Springer
16 years 6 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
IROS
2009
IEEE
149views Robotics» more  IROS 2009»
15 years 11 months ago
Mutual localization in a multi-robot system with anonymous relative position measures
— We address the mutual localization problem for a multi-robot system, under the assumption that each robot is equipped with a sensor that provides a measure of the relative posi...
Antonio Franchi, Giuseppe Oriolo, Paolo Stegagno
ICCV
2007
IEEE
15 years 11 months ago
A Multi-Image Restoration Method for Image Reconstruction from Projections
in Proc. IEEE Int’l Conf. on Computer Vision (ICCV), October, 2007 Traditional Bayesian restoration methods depend heavily on the accuracy of underlying generative models. For t...
Yunqiang Chen, Lin Cheng, Tong Fang, Rainer Raupac...
ATS
2003
IEEE
105views Hardware» more  ATS 2003»
15 years 10 months ago
Minimizing Defective Part Level Using a Linear Programming-Based Optimal Test Selection Method
Recent probabilistic test generation approaches have proven that detecting single stuck-at faults multiple times is effective at reducing the defective part level (DPL). Unfortuna...
Yuxin Tian, Michael R. Grimaila, Weiping Shi, M. R...