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SSPR
2010
Springer
15 years 2 months ago
Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model
Abstract. In this paper we introduce a new approach aimed at solving the problem of image retrieval from text queries. We propose to estimate the word relevance of an image using a...
Roberto Paredes
136
Voted
ACL
2012
13 years 6 months ago
Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT
With a few exceptions, discriminative training in statistical machine translation (SMT) has been content with tuning weights for large feature sets on small development data. Evid...
Patrick Simianer, Stefan Riezler, Chris Dyer
135
Voted
CVPR
2006
IEEE
16 years 6 months ago
Local Steerable Phase (LSP) Feature for Face Representation and Recognition
In this paper, we propose a novel local steerable phase (LSP) feature extracted from the face image using steerable filter for face representation and recognition. Steerable filte...
Xiaoxun Zhang, Yunde Jia
249
Voted
ICDE
2006
IEEE
178views Database» more  ICDE 2006»
16 years 5 months ago
Characterizing and Exploiting Reference Locality in Data Stream Applications
In this paper, we investigate a new approach to process queries in data stream applications. We show that reference locality characteristics of data streams could be exploited in ...
Feifei Li, Ching Chang, George Kollios, Azer Besta...
132
Voted
AUSAI
2005
Springer
15 years 9 months ago
Global Versus Local Constructive Function Approximation for On-Line Reinforcement Learning
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Peter Vamplew, Robert Ollington