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» Approximate Learning of Dynamic Models
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ICCV
2009
IEEE
16 years 11 months ago
Learning Deformable Action Templates from Crowded Videos
In this paper, we present a Deformable Action Template (DAT) model that is learnable from cluttered real-world videos with weak supervisions. In our generative model, an action ...
Benjamin Yao, Song-Chun Zhu
TMC
2008
123views more  TMC 2008»
15 years 6 months ago
Learning Adaptive Temporal Radio Maps for Signal-Strength-Based Location Estimation
In wireless networks, a client's locations can be estimated using signal strength received from signal transmitters. Static fingerprint-based techniques are commonly used for ...
Jie Yin, Qiang Yang, Lionel M. Ni
ICDAR
2011
IEEE
14 years 5 months ago
OCR-Driven Writer Identification and Adaptation in an HMM Handwriting Recognition System
—We present an OCR-driven writer identification algorithm in this paper. Our algorithm learns writer-specific characteristics more precisely from explicit character alignment usi...
Huaigu Cao, Rohit Prasad, Prem Natarajan
JMLR
2008
129views more  JMLR 2008»
15 years 6 months ago
Finite-Time Bounds for Fitted Value Iteration
In this paper we develop a theoretical analysis of the performance of sampling-based fitted value iteration (FVI) to solve infinite state-space, discounted-reward Markovian decisi...
Rémi Munos, Csaba Szepesvári
SCHOLARPEDIA
2008
92views more  SCHOLARPEDIA 2008»
15 years 5 months ago
Computational models of classical conditioning
: We describe computer simulation of a number of associative models of classical conditioning in an attempt to assess the strengths and weaknesses of each model. The behavior of th...
Nestor A. Schmajuk