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» Learning Nonlinear Manifolds from Time Series
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IJCAI
2007
14 years 11 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
75
Voted
CORR
2010
Springer
68views Education» more  CORR 2010»
14 years 9 months ago
Is It Real, or Is It Randomized?: A Financial Turing Test
We construct a financial "Turing test" to determine whether human subjects can differentiate between actual vs. randomized financial returns. The experiment consists of ...
Jasmina Hasanhodzic, Andrew W. Lo, Emanuele Viola
TCS
2008
14 years 9 months ago
Algorithms for subsequence combinatorics
A subsequence is obtained from a string by deleting any number of characters; thus in contrast to a substring, a subsequence is not necessarily a contiguous part of the string. Co...
Cees H. Elzinga, Sven Rahmann, Hui Wang
73
Voted
ICCV
2009
IEEE
16 years 2 months ago
Multiple Kernels for Object Detection
Our objective is to obtain a state-of-the art object category detector by employing a state-of-the-art image classifier to search for the object in all possible image subwindows....
Andrea Vedaldi, Varun Gulshan, Manik Varma, Andrew...
EUROGRAPHICS
2010
Eurographics
15 years 6 months ago
Synthesis of Responsive Motion Using a Dynamic Model
Synthesizing the movements of a responsive virtual character in the event of unexpected perturbations has proven a difficult challenge. To solve this problem, we devise a fully a...
Yuting Ye and C. Karen Liu