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» Comparing Reductions to NP-Complete Sets
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ISNN
2011
Springer
14 years 6 months ago
Orthogonal Feature Learning for Time Series Clustering
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
Xiaozhe Wang, Leo Lopes
BMCBI
2010
196views more  BMCBI 2010»
15 years 1 months ago
Content-based microarray search using differential expression profiles
Background: With the expansion of public repositories such as the Gene Expression Omnibus (GEO), we are rapidly cataloging cellular transcriptional responses to diverse experiment...
Jesse M. Engreitz, Alexander A. Morgan, Joel Dudle...
CONCURRENCY
2010
172views more  CONCURRENCY 2010»
15 years 1 months ago
Modeling of tsunami waves and atmospheric swirling flows with graphics processing unit (GPU) and radial basis functions (RBF)
The faster growth curves in the speed of GPUs relative to CPUs in the past decade and its rapidly gained popularity have spawned a new area of development in computational technol...
Jessica Schmidt, Cécile Piret, Nan Zhang, B...
EUROCAST
2005
Springer
102views Hardware» more  EUROCAST 2005»
15 years 9 months ago
Approximation Problems Categories
abstract NP-hard optimization problem, in a general sense. From the observation that, intuitively, there are many connections among categorical concepts and structural complexity n...
Liara Aparecida dos Santos Leal, Dalcidio Moraes C...
CIKM
2006
Springer
15 years 7 months ago
Coupling feature selection and machine learning methods for navigational query identification
It is important yet hard to identify navigational queries in Web search due to a lack of sufficient information in Web queries, which are typically very short. In this paper we st...
Yumao Lu, Fuchun Peng, Xin Li, Nawaaz Ahmed