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This paper presents work on the development of automatic feature extraction from multispectral aerial images and lidar data based on test data from two different study areas with different character...
Various multi-echo and Full-waveform (FW) lidar features can be processed. In this paper, multiple classifers are applied to lidar feature selection for urban scene classification. Random fores...
In this paper, we describe a novel type of feature for fast and accurate face detection. The feature is called Locally Assembled Binary (LAB) Haar feature. LAB feature is basically inspired by the suc...
In this paper, we present a new feature extraction algorithm which can generate robust and reliable feature in a fingerprint system. This algorithm is referred to as weighted ASF (WASF). The feature i...
This paper considers the semantic gap in content-based image retrieval from two aspects: (1) irrelevant visual contents (e.g. background) scatter the mapping from image to human perception; (2) unsup...
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embed...
When the appearances of the tracked object and surrounding background change during tracking, fixed feature space tends to cause tracking failure. To address this problem, we propose a method to embe...
This paper proposes an effective scoring scheme for feature selection in Text Mining, using characteristics of Small-World Phenomenon on the semantic networks of documents. Our focus is on the reserva...
Text embedded in images or videos is indispensable to understand multimedia information. In this paper we propose a new text detection method using the texture feature derived from text strokes. The m...
In this paper, an adaptati on method of the language style of a language model is proposed based on the differences between spoken and written language. Several interpolation methods based on trigram...
In this paper we propose a novel facial feature tracker,which integrates model-free and model-based method to reliably track dense facial features with complex non-rigid motions in low quality video ...
A System for Human Face and Facial Feature Location.

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