Car/Non-Car Classification in an Informative Sample Subspace

In this paper, we present a method for data classification with application to car/non-car objects. We first developed a sample based car/non-car maximal mutual information low dimensional subspace. We then trained a support vector machine (SVM) in this subspace for the detection of cars. Using publ...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Jianzhong Fang, Guoping Qiu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer science Image databases Information technology Mutual information Object detection Performance evaluation Pixel Support vector machine classification Support vector machines Testing
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