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TNN
2011
200views more  TNN 2011»
15 years 1 months ago
Domain Adaptation via Transfer Component Analysis
Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature rep...
Sinno Jialin Pan, Ivor W. Tsang, James T. Kwok, Qi...
SIGMETRICS
2011
ACM
237views Hardware» more  SIGMETRICS 2011»
14 years 9 months ago
Analysis of DCTCP: stability, convergence, and fairness
Cloud computing, social networking and information networks (for search, news feeds, etc) are driving interest in the deployment of large data centers. TCP is the dominant Layer 3...
Mohammad Alizadeh, Adel Javanmard, Balaji Prabhaka...
DAGM
2011
Springer
14 years 6 months ago
Agnostic Domain Adaptation
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
Alexander Vezhnevets, Joachim M. Buhmann
269
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Publication
156views
17 years 5 months ago
On Determining the Fair Bandwidth Share for ABR Connections in ATM Networks
In a multi-service network such as ATM, adaptive data services ( such as ABR) share the bandwidth left unused by higher priority services. The network indicates to the ABR sources ...
Sonia Fahmy, Raj Jain, Shivkumar Kalyanaraman, Roh...
ICIP
2009
IEEE
16 years 7 months ago
Illumination Invariant And Rotational Insensitive Textural Representation
We propose an illumination invariant and rotation insensitive texture representation based on a Markovian textural model. A texture is aligned with its dominant orientation and te...