Ten Tough Interview Questions and Ten Great Answers
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A Review of Hidden Markov Models for Context-Based Classification
Historical Note
• “Classification in Context” was well-studied in pattern recognition in the 60’s and 70’s
– e.g, recursive Markov-based algorithms were proposed, before hidden Markov algorithms and models were fully understood
• Applications in
– OCR for word-level recognition
– remote-sensing pixel classification
Context-Based Classification Problems
• Medical Diagnosis
– classification of a patient’s state over ....etc

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INTRODUCTION
Image Reconstruction
As name implies it is the process of reconstructing the three dimensional
shape of a single frame image.
principle
The principle of 3D-reconstruction is that, the object's three dimensions
are acquired by the conversion from the shade of gray to the depth of the
information of the image.


The basic design concept
The object surface shadeof gray can be expressed as
E(x,y) = I(x,y)cos
Where
I(x,y) = Light intensity of the optical source.
 = Object surface re
ecti ....etc

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Domain
KNOWLEDGE AND DATA ENGINEERING

Technology
JAVA

Abstract:
MANAGING MULTIDIMENSIONAL HISTORICAL AGGREGATE DATA IN UNSTRUCTURED P2P NETWORKS

A P2P-based framework supporting the extraction of aggregates from historical multidimensional data is proposed, which provides efficient and robust query evaluation. When a data population is published, data are summarized in a synopsis, consisting of an index built on top of a set of subsynopses (storing compressed representations of distinct data portions). The index and the subsy ....etc

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