150
Voted
ICIC
2005
Springer
15 years 9 months ago
2005
Springer
Dimension reduction is a crucial step for pattern recognition and information retrieval tasks to overcome the curse of dimensionality. In this paper a novel unsupervised linear dim...
134
Voted
MCS
2007
Springer
15 years 9 months ago
2007
Springer
In this paper we present a fusion technique for Support Vector Machine (SVM) scores, obtained after a dimension reduction with Bilateralprojection-based Two-Dimensional Principal C...
124
Voted
ISBRA
2007
Springer
15 years 9 months ago
2007
Springer
Clustering algorithms are employed in many bioinformatics tasks, including categorization of protein sequences and analysis of gene-expression data. Although these algorithms are r...
137
click to vote
ICDE
2007
IEEE
15 years 10 months ago
2007
IEEE
Increasingly large text datasets and the high dimensionality associated with natural language create a great challenge in text mining. In this research, a systematic study is cond...
154
Voted
SISAP
2008
IEEE
15 years 10 months ago
2008
IEEE
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
131
Voted
IDA
2009
Springer
15 years 10 months ago
2009
Springer
Abstract. Joint diagonalization for ICA is often performed on the orthogonal group after a pre-whitening step. Here we assume that we only want to extract a few sources after pre-w...
131
Voted
CVPR
2010
IEEE
15 years 11 months ago
2010
IEEE
When classifying high-dimensional sequence data, traditional methods (e.g., HMMs, CRFs) may require large amounts of training data to avoid overfitting. In such cases dimensional...