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» Incremental Multiple Kernel Learning for object recognition
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ICPR
2004
IEEE
14 years 8 months ago
Object Class Recognition using Images of Abstract Regions
lass Recognition using Images of Abstract Regions Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Department of Computer Science and Engineering Department of Electrical Engineering Un...
Jeff A. Bilmes, Linda G. Shapiro, Yi Li
CVPR
2006
IEEE
14 years 9 months ago
Shape-Based Approach to Robust Image Segmentation using Kernel PCA
Segmentation involves separating an object from the background. In this work, we propose a novel segmentation method combining image information with prior shape knowledge, within...
Samuel Dambreville, Yogesh Rathi, Allen Tannenbaum
CVPR
2009
IEEE
15 years 2 months ago
Who are you? Learning person specific classifiers from video
We investigate the problem of automatically labelling faces of characters in TV or movie material with their names, using only weak supervision from automaticallyaligned subtitl...
Josef Sivic (INRIA & Ecole Normale Superieure...
PAMI
2012
11 years 10 months ago
Unsupervised Learning of Categorical Segments in Image Collections
Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a fle...
Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona
BLISS
2008
IEEE
14 years 2 months ago
HLAC Approach to Automatic Object Counting
Counting (identical) objects in images is a simple yet fundamental recognition task that requires exhaustive human effort. Automation of this task would reduce the human load sign...
Takumi Kobayashi, Tadaaki Hosaka, Shu Mimura, Taka...