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CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
SBCCI
2003
ACM
113views VLSI» more  SBCCI 2003»
15 years 11 months ago
Tangram - Virtual Integration of Heterogeneous IP Components in a Distributed Co-Simulation Environment
IP reuse is essential in embedded SoC design. IP components may be described in different modeling languages and present heterogeneous interfaces. The Tangram environment supports...
Uilian Rafael Feijo Souza, Josue Klafke Sperb, Bra...
ICCV
2011
IEEE
14 years 6 months ago
Building a better probabilistic model of images by factorization
We describe a directed bilinear model that learns higherorder groupings among features of natural images. The model represents images in terms of two sets of latent variables: one...
Jack Culpepper, Jascha Sohl-Dickstein, Bruno Olaha...
CHI
2007
ACM
16 years 7 months ago
Modeling human performance of pen stroke gestures
This paper presents a quantitative human performance model of making single-stroke pen gestures within certain error constraints in terms of production time. Computed from the pro...
Xiang Cao, Shumin Zhai
ERCIMDL
2009
Springer
117views Education» more  ERCIMDL 2009»
16 years 1 months ago
A Visualization Tool of Probabilistic Models for Information Access Components
An effective graphic interface is a key tool to improve the fruition of the results retrieved by an Information Retrieval (IR) system. In this work, we describe a two-dimensional...
Lorenzo De Stefani, Giorgio Maria Di Nunzio, Giorg...