290 search results - page 3 / 58 » Learning with Deep Cascades |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
We propose a method to train a cascade of classifiers by simultaneously optimizing all its stages. The approach relies on the idea of optimizing soft cascades. In particular, inst...
PAMI
2012
12 years 6 days ago
2012
—The problem of automatic and optimal design of embedded object detector cascades is considered. Two main challenges are identified: optimization of the cascade configuration and...
COLING
2010
13 years 4 months ago
2010
This paper presents a novel semisupervised learning algorithm called Active Deep Networks (ADN), to address the semi-supervised sentiment classification problem with active learni...
ICMLA
2008
13 years 11 months ago
2008
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
PATMOS
2004
Springer
14 years 3 months ago
2004
Springer
Basic combinational gates, including NAND, NOR and XOR, are fundamental building blocks in CMOS digital circuits. This paper analyses and compares the power consumption due to tran...