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» Depth first generation of long patterns
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126
Voted
SDM
2003
SIAM
183views Data Mining» more  SDM 2003»
15 years 2 months ago
ApproxMAP: Approximate Mining of Consensus Sequential Patterns
Conventional sequential pattern mining methods may meet inherent difficulties in mining databases with long sequences and noise. They may generate a huge number of short and trivi...
Hye-Chung Kum, Jian Pei, Wei Wang 0010, Dean Dunca...
118
Voted
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
15 years 2 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
127
Voted
COMBINATORICS
2002
92views more  COMBINATORICS 2002»
15 years 29 days ago
Pattern Avoidance in Permutations: Linear and Cyclic Orders
: We generalize the notion of pattern avoidance to arbitrary functions on ordered sets, and consider specifically three scenarios for permutations: linear, cyclic and hybrid, the f...
Antoine Vella
86
Voted
ICIP
2001
IEEE
16 years 2 months ago
Hierarchical watermarking depending on local constraints
In this paper we propose a new watermarking technique where the watermark is embedded according to two keys. The first key is used to embed a code bit in a block of pixels. The se...
Christopher D. Coltman, Adrian G. Bors
131
Voted
KDD
2008
ACM
217views Data Mining» more  KDD 2008»
16 years 1 months ago
Stream prediction using a generative model based on frequent episodes in event sequences
This paper presents a new algorithm for sequence prediction over long categorical event streams. The input to the algorithm is a set of target event types whose occurrences we wis...
Srivatsan Laxman, Vikram Tankasali, Ryen W. White