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BIBE
2004
IEEE
115views Bioinformatics» more  BIBE 2004»
14 years 1 months ago
Discovering Novel Interacting Motif Pairs from Large Protein-Protein Interaction Datasets
Current motif discovery methods can only detect individual motifs in groups of protein sequences--they do not discover potentially-interacting motif pairs underlying the interacti...
Soon-Heng Tan, Wing-Kin Sung, See-Kiong Ng
IJON
2008
116views more  IJON 2008»
13 years 10 months ago
Discovering speech phones using convolutive non-negative matrix factorisation with a sparseness constraint
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can ...
Paul D. O'Grady, Barak A. Pearlmutter
ICA
2007
Springer
14 years 4 months ago
Discovering Convolutive Speech Phones Using Sparseness and Non-negativity
Discovering a representation that allows auditory data to be parsimoniously represented is useful for many machine learning and signal processing tasks. Such a representation can b...
Paul D. O'Grady, Barak A. Pearlmutter
CIKM
2010
Springer
13 years 8 months ago
A method for discovering components of human rituals from streams of sensor data
This paper describes an algorithm for determining if an event occurs persistently within an interval where the interval is periodic but the event is not. The goal of the algorithm...
Athanasios Bamis, Jia Fang, Andreas Savvides
DMIN
2006
83views Data Mining» more  DMIN 2006»
13 years 11 months ago
On Novelty Evaluation of Potentially Useful Patterns
- As is generally accepted, the most important feature that a Knowledge Discovery in Database (KDD) system must possess is, to be able to discover patterns that are "novel&quo...
Ying Xie, Manmathasivaram Nagarajan, Vijay V. Ragh...