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ICRA
2008
IEEE
173views Robotics» more  ICRA 2008»
16 years 23 days ago
Bayesian reinforcement learning in continuous POMDPs with application to robot navigation
— We consider the problem of optimal control in continuous and partially observable environments when the parameters of the model are not known exactly. Partially Observable Mark...
Stéphane Ross, Brahim Chaib-draa, Joelle Pi...
ICCAD
1999
IEEE
95views Hardware» more  ICCAD 1999»
15 years 10 months ago
Dynamic power management using adaptive learning tree
Dynamic Power Management (DPM) is a technique to reduce power consumption of electronic systems by selectively shutting down idle components. The quality of the shutdown control a...
Eui-Young Chung, Luca Benini, Giovanni De Micheli
146
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IJCAI
2001
15 years 7 months ago
Adaptive Information Extraction from Text by Rule Induction and Generalisation
(LP)2 is a covering algorithm for adaptive Information Extraction from text (IE). It induces symbolic rules that insert SGML tags into texts by learning from examples found in a u...
Fabio Ciravegna
ICMCS
2009
IEEE
102views Multimedia» more  ICMCS 2009»
15 years 4 months ago
Scalable HMM based inference engine in large vocabulary continuous speech recognition
Parallel scalability allows an application to efficiently utilize an increasing number of processing elements. In this paper we explore a design space for parallel scalability for...
Jike Chong, Kisun You, Youngmin Yi, Ekaterina Goni...
PAMI
2012
13 years 8 months ago
CPMC: Automatic Object Segmentation Using Constrained Parametric Min-Cuts
—We present a novel framework to generate and rank plausible hypotheses for the spatial extent of objects in images using bottom-up computational processes and mid-level selectio...
João Carreira, Cristian Sminchisescu