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» Hashing Methods for Temporal Data
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ICAPR
2005
Springer
15 years 8 months ago
Hierarchical Clustering of Dynamical Systems Based on Eigenvalue Constraints
Abstract. This paper addresses the clustering problem of hidden dynamical systems behind observed multivariate sequences by assuming an interval-based temporal structure in the seq...
Hiroaki Kawashima, Takashi Matsuyama
128
Voted
ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
15 years 8 months ago
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation
— We present a frequency-domain method of noisy convolutive source separation, where we extends the SEONS algorithm [2] that jointly exploits the nonstationarity and temporal str...
Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin C...
131
Voted
JIIS
2006
113views more  JIIS 2006»
15 years 2 months ago
Spatial ordering and encoding for geographic data mining and visualization
: Geographic information (e.g., locations, networks, and nearest neighbors) are unique and different from other aspatial attributes (e.g., population, sales, or income). It is a ch...
Diansheng Guo, Mark Gahegan
ICCV
2003
IEEE
16 years 4 months ago
Mean Shift Based Clustering in High Dimensions: A Texture Classification Example
Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Bogdan Georgescu, Ilan Shimshoni, Peter Meer
KDD
1997
ACM
161views Data Mining» more  KDD 1997»
15 years 6 months ago
Automated Discovery of Active Motifs in Three Dimensional Molecules
In this paper 1 we present a method for discovering approximately common motifs (also known as active motifs) in three dimensional (3D) molecules. Each node in a molecule is repre...
Xiong Wang, Jason Tsong-Li Wang, Dennis Shasha, Br...