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» Unsupervised Learning of Invariant Features Using Video
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ECCV
2010
Springer
13 years 11 months ago
Object Segmentation by Long Term Analysis of Point Trajectories
Unsupervised learning requires a grouping step that defines which data belong together. A natural way of grouping in images is the segmentation of objects or parts of objects. Whi...
IADIS
2003
13 years 10 months ago
Hypertext Classification: A Multiagent Model for Adaptive Learning Algorithm
The problem of hypertext classification deals with objects possessing more complex information structure than the plain text has. Present hypertext classification systems show the...
Stanislav Baglei
LREC
2008
253views Education» more  LREC 2008»
13 years 10 months ago
Learning properties of Noun Phrases: from data to functions
The paper presents two experiments of unsupervised classification of Italian noun phrases. The goal of the experiments is to identify the most prominent contextual properties that...
Valeria Quochi, Basilio Calderone
MVA
2007
186views Computer Vision» more  MVA 2007»
13 years 10 months ago
License Plate Recognition from Low-Quality Videos
This paper presents a novel hybrid method for extracting license plates and recognizing characters from low-quality videos using morphological operations and Adaboost algorithm. F...
Chih-Chiang Chen, Jun-Wei Hsieh
WWW
2004
ACM
14 years 9 months ago
Mining models of human activities from the web
The ability to determine what day-to-day activity (such as cooking pasta, taking a pill, or watching a video) a person is performing is of interest in many application domains. A ...
Mike Perkowitz, Matthai Philipose, Kenneth P. Fish...