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» Dynamic Modeling in Inductive Inference
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JMLR
2012
11 years 10 months ago
Maximum Margin Temporal Clustering
Temporal Clustering (TC) refers to the factorization of multiple time series into a set of non-overlapping segments that belong to k temporal clusters. Existing methods based on e...
Minh Hoai Nguyen, Fernando De la Torre
PERVASIVE
2009
Springer
14 years 2 months ago
Methodologies for Continuous Cellular Tower Data Analysis
This paper presents novel methodologies for the analysis of continuous cellular tower data from 215 randomly sampled subjects in a major urban city. We demonstrate the potential of...
Nathan Eagle, John A. Quinn, Aaron Clauset
ICPR
2008
IEEE
14 years 2 months ago
2D and 3D upper body tracking with one framework
We propose a Dynamic Bayesian Network (DBN) model for upper body tracking. We first construct a Bayesian Network (BN) to represent the human upper body structure and then incorpo...
Lei Zhang, Jixu Chen, Zhi Zeng, Qiang Ji
PAMI
2012
11 years 10 months ago
Recursive Segmentation and Recognition Templates for Image Parsing
— Language and image understanding are two major goals of artificial intelligence which can both be conceptually formulated in terms of parsing the input signal into a hierarchi...
Long Zhu, Yuanhao Chen, Yuan Lin, Chenxi Lin, Alan...
ICDE
2012
IEEE
205views Database» more  ICDE 2012»
11 years 10 months ago
Optimizing Statistical Information Extraction Programs over Evolving Text
—Statistical information extraction (IE) programs are increasingly used to build real-world IE systems such as Alibaba, CiteSeer, Kylin, and YAGO. Current statistical IE approach...
Fei Chen, Xixuan Feng, Christopher Re, Min Wang