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ICCV
2009
IEEE
15 years 23 days ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
MICCAI
2005
Springer
14 years 8 months ago
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
Tolga Tasdizen, Suyash P. Awate, Ross T. Whitaker,...
CVPR
2010
IEEE
14 years 3 days ago
Cascaded Pose Regression
We present a fast and accurate algorithm for computing the 2D pose of objects in images called cascaded pose regression (CPR). CPR progressively refines a loosely specified initia...
Piotr Dollar, Peter Welinder, Pietro Perona
JMM2
2007
116views more  JMM2 2007»
13 years 7 months ago
Automatic Deformation Detection for Aircraft Engine Disk Inspection
— Computer vision algorithms are seeing increased use in industrial inspection applications. Here, we present an “Aid to Visual” system that can detect post deformations of l...
Dirk R. Padfield, Glen Brooksby, Robert Kaucic
TNN
2010
205views Management» more  TNN 2010»
13 years 2 months ago
Behavior-constrained support vector machines for fMRI data analysis
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu