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ICML
2010
IEEE
13 years 8 months ago
The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
The hierarchical Dirichlet process (HDP) is a Bayesian nonparametric mixed membership model--each data point is modeled with a collection of components of different proportions. T...
Sinead Williamson, Chong Wang, Katherine A. Heller...
ICCV
2007
IEEE
14 years 9 months ago
Learning Multiscale Representations of Natural Scenes Using Dirichlet Processes
We develop nonparametric Bayesian models for multiscale representations of images depicting natural scene categories. Individual features or wavelet coefficients are marginally de...
Jyri J. Kivinen, Erik B. Sudderth, Michael I. Jord...
CVPR
2007
IEEE
14 years 9 months ago
Image Segmentation by Probabilistic Bottom-Up Aggregation and Cue Integration
We present a parameter free approach that utilizes multiple cues for image segmentation. Beginning with an image, we execute a sequence of bottom-up aggregation steps in which pix...
Sharon Alpert, Meirav Galun, Ronen Basri, Achi Bra...
SSPR
2004
Springer
14 years 29 days ago
Clustering Variable Length Sequences by Eigenvector Decomposition Using HMM
We present a novel clustering method using HMM parameter space and eigenvector decomposition. Unlike the existing methods, our algorithm can cluster both constant and variable leng...
Fatih Murat Porikli
AAAI
2008
13 years 10 months ago
Discourse Topic and Gestural Form
Coverbal gesture provides a channel for the visual expression of ideas. While some gestural emblems have culturally predefined forms (e.g., "thumbs up"), the relationshi...
Jacob Eisenstein, Regina Barzilay, Randall Davis