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KI
2009
Springer
15 years 5 months ago
Generalized Clustering via Kernel Embeddings
Abstract. We generalize traditional goals of clustering towards distinguishing components in a non-parametric mixture model. The clusters are not necessarily based on point locatio...
Stefanie Jegelka, Arthur Gretton, Bernhard Sch&oum...
ICRA
2009
IEEE
266views Robotics» more  ICRA 2009»
15 years 5 months ago
Behavioral control for multi-robot perimeter patrol: A Finite State Automata approach
Abstract— This paper proposes a multiple robot control algorithm to approach the problem of patrolling an open or closed line. The algorithm is fully decentralized, i.e., no comm...
Alessandro Marino, Lynne E. Parker, Gianluca Anton...
75
Voted
CIDM
2007
IEEE
15 years 3 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ECCV
2004
Springer
16 years 1 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...
IROS
2006
IEEE
166views Robotics» more  IROS 2006»
15 years 5 months ago
Obstacle Avoidance Behavior for a Biologically-inspired Mobile Robot Using Binaural Ultrasonic Sensors
– Many untethered mobile robots require an operator’s vision and intelligence for guidance and navigation. Animals and insects, however, use sensory systems such as hearing, an...
William A. Lewinger, Michael S. Watson, Roger D. Q...