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» New Algorithms for Statistical Analysis of Interval Data
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TIP
2002
179views more  TIP 2002»
15 years 4 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
ECCV
2010
Springer
15 years 10 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
SCALESPACE
1999
Springer
15 years 9 months ago
Fast Marching to Moving Object Location
In this paper we address two important problems in motion analysis: the detection of moving objects and their localization. Statistical and level set approaches are adopted in orde...
Eftychios Sifakis, George Tziritas
CORR
2010
Springer
99views Education» more  CORR 2010»
15 years 5 months ago
Locating phase transitions in computationally hard problems
We discuss how phase-transitions may be detected in computationally hard problems in the context of anytime algorithms. Treating the computational time, value and utility functions...
B. Ashok, T. K. Patra
170
Voted
KDD
2010
ACM
218views Data Mining» more  KDD 2010»
15 years 9 months ago
Online multiscale dynamic topic models
We propose an online topic model for sequentially analyzing the time evolution of topics in document collections. Topics naturally evolve with multiple timescales. For example, so...
Tomoharu Iwata, Takeshi Yamada, Yasushi Sakurai, N...