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» A New Indexing Method for High Dimensional Dataset
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ACIIDS
2010
IEEE
170views Database» more  ACIIDS 2010»
14 years 10 months ago
On the Effectiveness of Gene Selection for Microarray Classification Methods
Microarray data usually contains a high level of noisy gene data, the noisy gene data include incorrect, noise and irrelevant genes. Before Microarray data classification takes pla...
Zhongwei Zhang, Jiuyong Li, Hong Hu, Hong Zhou
NIPS
2008
15 years 2 months ago
Diffeomorphic Dimensionality Reduction
This paper introduces a new approach to constructing meaningful lower dimensional representations of sets of data points. We argue that constraining the mapping between the high a...
Christian Walder, Bernhard Schölkopf
85
Voted
INFORMATICASI
2007
89views more  INFORMATICASI 2007»
15 years 16 days ago
Approximate Representation of Textual Documents in the Concept Space
In this paper we deal with the problem of addition of new documents in collection when documents are represented in lower dimensional space by concept indexing. Concept indexing i...
Jasminka Dobsa, Bojana Dalbelo Basic
CIKM
2010
Springer
14 years 10 months ago
Index structures for efficiently searching natural language text
Many existing indexes on text work at the document granularity and are not effective in answering the class of queries where the desired answer is only a term or a phrase. In this...
Pirooz Chubak, Davood Rafiei

Publication
197views
13 years 8 months ago
Convex non-negative matrix factorization for massive datasets
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
C. Thurau, K. Kersting, M. Wahabzada, and C. Bauck...