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JMLR
2012
9 years 8 months ago
A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models
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...
Mohammad Emtiyaz Khan, Shakir Mohamed, Benjamin M....
CORR
2012
Springer
220views Education» more  CORR 2012»
10 years 1 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
ICCV
2011
IEEE
10 years 5 months ago
Real-time Indoor Scene Understanding using Bayesian Filtering with Motion Cues
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...
Grace Tsai, Changhai Xu, Jingen Liu, Benjamin Kuip...
ICCV
2011
IEEE
10 years 5 months ago
Decision Tree Fields
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...
Sebastian Nowozin, Carsten Rother, Shai Bagon, Ban...
JVCA
2011
60views more  JVCA 2011»
10 years 8 months ago
UEGM: uncertain emotion generator under multi-stimulus
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...
Nan Xiang, Haiying Zhao, Xiaojian Zhou, Mingliang ...
CDC
2009
IEEE
138views Control Systems» more  CDC 2009»
11 years 3 months ago
Beyond local optimality: An improved approach to hybrid model learning
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...
Stephanie Gil, Brian Williams
PAMI
2010
132views more  PAMI 2010»
11 years 3 months ago
Maximum Likelihood Model Selection for 1-Norm Soft Margin SVMs with Multiple Parameters
—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....
Tobias Glasmachers, Christian Igel
ICRA
2010
IEEE
109views Robotics» more  ICRA 2010»
11 years 4 months ago
Simultaneous object class and pose estimation for mobile robotic applications with minimalistic recognition
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...
Alper Aydemir, Adrian N. Bishop, Patric Jensfelt
WSC
2004
11 years 6 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
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...
Zdravko I. Botev, Dirk P. Kroese
ICRA
1999
IEEE
110views Robotics» more  ICRA 1999»
11 years 9 months ago
Subpixel Localization and Uncertainty Estimation Using Occupancy Grids
We describe techniques for performing mobile robot localization using occupancy grids that allow subpixel localization and uncertainty estimation in the pixelized pose space. The ...
Clark F. Olson
books