JMLR
2012
12 years 1 months ago
2012
The development of accurate models and efficient algorithms for the analysis of multivariate categorical data are important and longstanding problems in machine learning and compu...
CORR
2012
Springer
12 years 6 months ago
2012
Springer
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...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
We present a method whereby an embodied agent using visual perception can efficiently create a model of a local indoor environment from its experience of moving within it. Our me...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces a new formulation for discrete image labeling tasks, the Decision Tree Field (DTF), that combines and generalizes random forests and conditional random fiel...
JVCA
2011
13 years 1 months ago
2011
In this paper, we introduce a novel particle filtering architecture to simulate uncertain emotion generation under multi-stimulus, to enrich emotions for virtual characters. Parti...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
Abstract-- Local convergence is a limitation of many optimization approaches for multimodal functions. For hybrid model learning, this can mean a compromise in accuracy. We develop...
PAMI
2010
13 years 9 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
ICRA
2010
IEEE
13 years 9 months ago
2010
IEEE
Abstract— In this paper we address the problem of simultaneous object class and pose estimation using nothing more than object class label measurements from a generic object clas...
WSC
2004
14 years 6 days ago
2004
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
ICRA
1999
IEEE
14 years 3 months ago
1999
IEEE
We describe techniques for performing mobile robot localization using occupancy grids that allow subpixel localization and uncertainty estimation in the pixelized pose space. The ...