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» Boosting Object Detection Using Feature Selection
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VTS
2007
IEEE
203views Hardware» more  VTS 2007»
15 years 11 months ago
Multiple Bit Upset Tolerant Memory Using a Selective Cycle Avoidance Based SEC-DED-DAEC Code
Conventional error correcting code (ECC) schemes used in memories and caches cannot correct double bit errors caused by a single event upset (SEU). As memory density increases, mu...
Avijit Dutta, Nur A. Touba
IJCAI
2007
15 years 6 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
ICCV
2005
IEEE
16 years 6 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
MVA
2000
212views Computer Vision» more  MVA 2000»
15 years 4 months ago
Edge-Based Segmentation of Textured Images Using Optimally Selected Gabor Filters
In this paper, we propose a technique for segmenting visual textures using features extracted from the reponses of Ga,bor filters, appropria.tely selectecl to be tuned to texture ...
Bertin Rodolphe Okombi-Diba, Juichi Miyamichi, Ken...
ICCV
2009
IEEE
16 years 9 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...