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ICML
2008
IEEE
14 years 12 months ago
Empirical Bernstein stopping
Sampling is a popular way of scaling up machine learning algorithms to large datasets. The question often is how many samples are needed. Adaptive stopping algorithms monitor the ...
Csaba Szepesvári, Jean-Yves Audibert, Volod...
EUC
2004
Springer
14 years 2 months ago
Efficient Scheduling for Design Exploration with Imprecise Latency and Register Constraints
In archiectural synthesis, scheduling and resource allocation are important steps. During the early stage of the design, imprecise information is unavoidable. Under the imprecise ...
Chantana Chantrapornchai, Wanlop Surakumpolthorn, ...
PERCOM
2003
ACM
14 years 10 months ago
System Design of Smart Table
This paper describes the system design of Smart Table, a table that can track and identify multiple objects simultaneously when placed on top of its surface. The table has been de...
Philipp Steurer, Mani B. Srivastava
ICASSP
2009
IEEE
14 years 5 months ago
Fast LCD motion deblurring by decimation and optimization
The LCD deblurring problem is considered as a simple bounded quadratic programming problem and is solved using conjugate gradient with early stopping criteria to avoid excessive s...
Stanley H. Chan, Truong Q. Nguyen
ICANNGA
2007
Springer
138views Algorithms» more  ICANNGA 2007»
14 years 5 months ago
Rib Suppression for Enhancing Frontal Chest Radiographs Using Independent Component Analysis
Chest radiographs play an important role in the diagnosis of lung cancer. Detection of pulmonary nodules in chest radiographs forms the basis of early detection. Due to its sparse ...
Bilal Ahmed, Tahir Rasheed, Mohammad A. U. Khan, S...