868 search results - page 6 / 174 » Learning Object Representations Using Sequential Patterns |
135
Voted
IDA
2007
Springer
15 years 3 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
141
Voted
AMFG
2007
IEEE
15 years 10 months ago
2007
IEEE
In this paper, we propose a novel appearance-based representation, called Structured Ordinal Feature (SOF). SOF is a binary string encoded by combining eight ordinal blocks in a ci...
111
Voted
SPIRE
2005
Springer
15 years 9 months ago
2005
Springer
In this article we will introduce a new approach (and several implementations) to the task of sentence classification, where pre-defined classes are assigned to sentences. This a...
128
Voted
ML
2006
ACM
15 years 3 months ago
2006
ACM
This paper presents a representation for melodic segment classes and applies it to music data mining. Melody is modeled as a sequence of segments, each segment being a sequenceofno...
146
Voted
CVPR
2008
IEEE
15 years 3 months ago
2008
IEEE
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...