506 search results - page 28 / 102 » Multiple Kernel Learning with High Order Kernels |
150
Voted
ML
2010
ACM
15 years 1 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
140
Voted
TIP
2011
14 years 9 months ago
2011
—Recently, many object localization models have shown that incorporating contextual cues can greatly improve accuracy over using appearance features alone. Therefore, many of the...
140
Voted
ML
2002
ACM
15 years 2 months ago
2002
ACM
The choice of the kernel function is crucial to most applications of support vector machines. In this paper, however, we show that in the case of text classification, term-frequenc...
145
Voted
ICASSP
2009
IEEE
15 years 14 days ago
2009
IEEE
We present a framework to apply Volterra series to analyze multilayered perceptrons trained to estimate the posterior probabilities of phonemes in automatic speech recognition. Th...
112
Voted
FCCM
2005
IEEE
15 years 8 months ago
2005
IEEE
FPGA-based floating-point kernels must exploit algorithmic parallelism and use deeply pipelined cores to gain a performance advantage over general-purpose processors. Inability t...