Sciweavers

1599 search results - page 267 / 320
» Theoretical Frameworks for Data Mining
Sort
View
ECCV
2010
Springer
13 years 10 months ago
Fast and Exact Primal-Dual Iterations for Variational Problems in Computer Vision
The saddle point framework provides a convenient way to formulate many convex variational problems that occur in computer vision. The framework unifies a broad range of data and re...
Jan Lellmann, Dirk Breitenreicher, Christoph Schn&...
CORR
2010
Springer
207views Education» more  CORR 2010»
13 years 9 months ago
Collaborative Hierarchical Sparse Modeling
Sparse modeling is a powerful framework for data analysis and processing. Traditionally, encoding in this framework is performed by solving an 1-regularized linear regression prob...
Pablo Sprechmann, Ignacio Ramírez, Guillerm...
SAC
2011
ACM
12 years 11 months ago
Cloud application logging for forensics
Logs are one of the most important pieces of analytical data in a cloud-based service infrastructure. At any point in time, service owners and operators need to understand the sta...
Raffael Marty
AAAI
2012
11 years 11 months ago
Manifold Warping: Manifold Alignment over Time
Knowledge transfer is computationally challenging, due in part to the curse of dimensionality, compounded by source and target domains expressed using different features (e.g., do...
Hoa Trong Vu, Clifton Carey, Sridhar Mahadevan
DLOG
2010
13 years 7 months ago
On the feasibility of Description Logic knowledge bases with rough concepts and vague instances
Abstract. A usage scenario of bio-ontologies is hypothesis testing, such as finding relationships or new subconcepts in the data linked to the ontology. Whilst validating the hypot...
C. Maria Keet