Publication
Owing to visual ambiguities and disparities, person re-identification methods inevitably produce suboptimal rank-list, which still requires exhaustive human eyeballing to identify ...
SDM
2012
SIAM
12 years 1 months ago
2012
SIAM
Feature selection is widely used in preparing highdimensional data for effective data mining. Increasingly popular social media data presents new challenges to feature selection....
ACL
2012
12 years 1 months ago
2012
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...
CVPR
2012
IEEE
12 years 1 months ago
2012
IEEE
In this paper we examine the effect of receptive field designs on classification accuracy in the commonly adopted pipeline of image classification. While existing algorithms us...
JMLR
2012
12 years 1 months ago
2012
We present a unifying framework for information theoretic feature selection, bringing almost two decades of research on heuristic filter criteria under a single theoretical inter...
ECIR
2011
Springer
13 years 2 months ago
2011
Springer
Abstract. Training data as well as supplementary data such as usagebased click behavior may abound in one search market (i.e., a particular region, domain, or language) and be much...
ECIR
2011
Springer
13 years 2 months ago
2011
Springer
Feature selection plays a vital role in text categorisation. A range of different methods have been developed, each having unique properties and selecting different features. We ...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
ICASSP
2011
IEEE
13 years 3 months ago
2011
IEEE
In this paper we deal with the problem of feature selection by introducing a new approach based on Gravitational Search Algorithm (GSA). The proposed algorithm combines the optimi...