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» Robust multi-task feature learning
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CVPR
2010
IEEE
15 years 10 months ago
Hierarchical Convolutional Sparse Image Decomposition
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
Matthew Zeiler, Dilip Krishnan, Graham Taylor, Rob...
ICPR
2006
IEEE
16 years 3 months ago
Boosted Gabor Features Applied to Vehicle Detection
Robust vehicle detection is a challenging task given vehicles with different types, and sizes, and at different distances. This paper proposes a Boosted Gabor Features (BGF) appro...
Chong Sun, Hong Cheng, Nanning Zheng
ACML
2009
Springer
15 years 8 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
DAGM
2005
Springer
15 years 7 months ago
Goal-Directed Search with a Top-Down Modulated Computational Attention System
In this paper we present VOCUS: a robust computational attention system for goal-directed search. A standard bottom-up architecture is extended by a top-down component, enabling th...
Simone Frintrop, Gerriet Backer, Erich Rome
ICCV
2007
IEEE
15 years 8 months ago
Co-Tracking Using Semi-Supervised Support Vector Machines
This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Feng Tang, Shane Brennan, Qi Zhao, Hai Tao