468 search results - page 28 / 94 » A Hierarchical Latent Variable Model for Data Visualization |
CSDA
2008
13 years 8 months ago
2008
In the general classification context the recourse to the so-called Bayes decision rule requires to estimate the class conditional probability density functions. In this paper we p...
NIPS
2001
13 years 10 months ago
2001
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
KDD
2008
ACM
14 years 9 months ago
2008
ACM
In this work, we address the problem of joint modeling of text and citations in the topic modeling framework. We present two different models called the Pairwise-Link-LDA and the ...
JIIS
2002
13 years 8 months ago
2002
Abstract. We propose a novel probabilistic method, based on latent variable models, for unsupervised topographic visualisation of dynamically evolving, coherent textual information...
ICCV
2011
IEEE
12 years 8 months ago
2011
IEEE
Weakly supervised discovery of common visual structure in highly variable, cluttered images is a key problem in recognition. We address this problem using deformable part-based mo...