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PRIB
2009
Springer
135views Bioinformatics» more  PRIB 2009»
16 years 1 months ago
Sequential Hierarchical Pattern Clustering
Abstract. Clustering is a widely used unsupervised data analysis technique in machine learning. However, a common requirement amongst many existing clustering methods is that all p...
Bassam Farran, Amirthalingam Ramanan, Mahesan Nira...
160
Voted
ICASSP
2011
IEEE
14 years 10 months ago
Detecting oscillating singularities in multifractal analysis: Application to hydrodynamic turbulence
Multifractal analysis describes data as a collection of singularities. However, its classical formulation does not account for their possibly oscillating nature, while, in a numbe...
Patrice Abry, Stéphane G. Roux, Stép...
ICDT
2009
ACM
166views Database» more  ICDT 2009»
16 years 7 months ago
A compositional framework for complex queries over uncertain data
The ability to flexibly compose confidence computation with the operations of relational algebra is an important feature of probabilistic database query languages. Computing confi...
Christoph Koch, Michaela Götz
ICIP
2009
IEEE
16 years 5 months ago
Edge-preserving Colorization using Data-Driven Random Walks with Restart
In this paper, we consider the colorization problem of grayscale images in which some color scribbles are initially given. Our proposed method is based on the weighted color blendi...
Tae Hoon Kim (Seoul National University), Kyoung M...
DCOSS
2006
Springer
15 years 10 months ago
GIST: Group-Independent Spanning Tree for Data Aggregation in Dense Sensor Networks
Abstract. Today, there exist many algorithms and protocols for constructing agregation or dissemination trees for wireless sensor networks that are optimal (for different notions o...
Lujun Jia, Guevara Noubir, Rajmohan Rajaraman, Rav...