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» Evaluating algorithms that learn from data streams
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ICML
2006
IEEE
16 years 8 months ago
Deterministic annealing for semi-supervised kernel machines
An intuitive approach to utilizing unlabeled data in kernel-based classification algorithms is to simply treat unknown labels as additional optimization variables. For marginbased...
Vikas Sindhwani, S. Sathiya Keerthi, Olivier Chape...
GIS
2007
ACM
16 years 8 months ago
Quality-driven geospatial data integration
Accurate and efficient integration of geospatial data is an important problem with applications in areas such as emergency response and urban planning. Some of the key challenges ...
Craig A. Knoblock, José Luis Ambite, Snehal...
222
Voted
ICIP
2001
IEEE
16 years 9 months ago
Study of embedded font context and kernel space methods for improved videotext recognition
Videotext refers to text superimposed on video frames. A videotext based Multimedia Description Scheme has recently been adopted into the MPEG-7 standard. A study of published wor...
Chitra Dorai, Hrishikesh Aradhye, Jae-Chang Shim
ICMCS
2006
IEEE
147views Multimedia» more  ICMCS 2006»
16 years 1 months ago
A Secret Key Based Multiscale Fragile Watermark in the Wavelet Domain
The distribution of the wavelet coefficients in 2-D discrete wavelet transform (DWT) subspaces can be well described by a Gaussian mixture statistical model. In this paper, a secr...
Hua Yuan, Xiao-Ping Zhang
DSD
2010
IEEE
137views Hardware» more  DSD 2010»
15 years 5 months ago
A C-to-RTL Flow as an Energy Efficient Alternative to Embedded Processors in Digital Systems
We present a high-level synthesis flow for mapping an algorithm description (in C) to a provably equivalent registertransfer level (RTL) description of hardware. This flow uses an ...
Sameer D. Sahasrabuddhe, Sreenivas Subramanian, Ku...