Sciweavers

2142 search results - page 186 / 429
» Hierarchical Adaptive Clustering
Sort
View
ISNN
2011
Springer
14 years 9 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
AAAI
2012
13 years 9 months ago
Discriminative Clustering via Generative Feature Mapping
Existing clustering methods can be roughly classified into two categories: generative and discriminative approaches. Generative clustering aims to explain the data and thus is ad...
Liwei Wang, Xiong Li, Zhuowen Tu, Jiaya Jia
IJCAT
2008
69views more  IJCAT 2008»
15 years 6 months ago
A knowledge hierarchy model for adaptive multi-agent systems
: Adaptivity in software is important since business processes, business rules and business terms constantly evolve. A radical solution is described that makes use of the inherent ...
Liang Xiao 0002, Des Greer
SSDBM
2006
IEEE
121views Database» more  SSDBM 2006»
16 years 18 days ago
Time Series Analysis Using the Concept of Adaptable Threshold Similarity
The issue of data mining in time series databases is of utmost importance for many practical applications and has attracted a lot of research in the past years. In this paper, we ...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
ICASSP
2008
IEEE
16 years 1 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu