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CIDM
2007
IEEE
14 years 2 months ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...
ICANN
2007
Springer
14 years 1 months ago
An Efficient Search Strategy for Feature Selection Using Chow-Liu Trees
Within the taxonomy of feature extraction methods, recently the Wrapper approaches lost some popularity due to the associated computational burden, compared to Embedded or Filter m...
Erik Schaffernicht, Volker Stephan, Horst-Michael ...
DAC
1995
ACM
14 years 1 months ago
The Elmore Delay as a Bound for RC Trees with Generalized Input Signals
The Elmore delay is an extremely popular delay metric, particularly for RC tree analysis. The widespread usage of this metric is mainly attributable to it being the most accurate ...
Rohini Gupta, Byron Krauter, Bogdan Tutuianu, John...
ICIP
2002
IEEE
14 years 11 months ago
Unsupervised image segmentation via Markov trees and complex wavelets
The goal in image segmentation is to label pixels in an image based on the properties of each pixel and its surrounding region. Recently Content-Based Image Retrieval (CBIR) has e...
Cián W. Shaffrey, Ian Jermyn, Nick G. Kings...
APCHI
2008
IEEE
14 years 4 months ago
On Generating Backbone Trees through Robust Multi-hop Clusters in Wireless Sensor Networks
Routing through a backbone, which is responsible for performing and managing multipoint communication, reduces the communication overhead and overall energy consumption in wireless...
Inyoung Shin, Moonseong Kim, Hyunseung Choo