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ACCV
2010
Springer
14 years 7 months ago
A Heuristic Deformable Pedestrian Detection Method
Pedestrian detection is an important application in computer vision. Currently, most pedestrian detection methods focus on learning one or multiple fixed models. These algorithms r...
Yongzhen Huang, Kaiqi Huang, Tieniu Tan
ECCV
2004
Springer
16 years 2 months ago
Multiple View Feature Descriptors from Image Sequences via Kernel Principal Component Analysis
Abstract. We present a method for learning feature descriptors using multiple images, motivated by the problems of mobile robot navigation and localization. The technique uses the ...
Jason Meltzer, Ming-Hsuan Yang, Rakesh Gupta, Stef...
ROBOCUP
2000
Springer
130views Robotics» more  ROBOCUP 2000»
15 years 4 months ago
Improvement Continuous Valued Q-learning and Its Application to Vision Guided Behavior Acquisition
Q-learning, a most widely used reinforcement learning method, normally needs well-defined quantized state and action spaces to converge. This makes it difficult to be applied to re...
Yasutake Takahashi, Masanori Takeda, Minoru Asada
80
Voted
ICML
2005
IEEE
16 years 1 months ago
Action respecting embedding
Dimensionality reduction is the problem of finding a low-dimensional representation of highdimensional input data. This paper examines the case where additional information is kno...
Michael H. Bowling, Ali Ghodsi, Dana F. Wilkinson
AAAI
2010
15 years 2 months ago
Generalized Task Markets for Human and Machine Computation
We discuss challenges and opportunities for developing generalized task markets where human and machine intelligence are enlisted to solve problems, based on a consideration of th...
Dafna Shahaf, Eric Horvitz