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KCAP
2005
ACM
16 years 19 hour ago
Matching utterances to rich knowledge structures to acquire a model of the speaker's goal
An ultimate goal of AI is to build end-to-end systems that interpret natural language, reason over the resulting logical forms, and perform actions based on that reasoning. This r...
Peter Z. Yeh, Bruce W. Porter, Ken Barker
CORR
2012
Springer
220views Education» more  CORR 2012»
14 years 2 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
AI
2008
Springer
16 years 24 days ago
Use of Fuzzy Histograms to Model the Spatial Distribution of Objects in Case-Based Reasoning
Abstract. In the context of the RoboCup Simulation League, we describe a new representation of a software agent’s visual perception (“scene”), well suited for case-based reas...
Alan Davoust, Michael W. Floyd, Babak Esfandiari
ICIP
2010
IEEE
15 years 4 months ago
Image modeling and enhancement via structured sparse model selection
An image representation framework based on structured sparse model selection is introduced in this work. The corresponding modeling dictionary is comprised of a family of learned ...
Guoshen Yu, Guillermo Sapiro, Stéphane Mall...
EUC
2005
Springer
15 years 12 months ago
A Unified Context Model: Bringing Probabilistic Models to Context Ontology
Abstract. Ontology is a promising tool to model and reason about context information in pervasive computing environment. However, ontology does not support representation and reaso...
Binh An Truong, Young-Koo Lee, Sungyoung Lee