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We study filter–based feature selection methods for classification of biomedical images. For feature selection, we use two filters — a relevance filter which measures usefulness of individual features...
Thermal and atmospheric noise distort envelope measurements in a Loran receiver, and may cause the receiver to select the wrong cycle during signal acquisition. A cycle error would persist during sign...
Pharmaceutical research/development and quality control laboratories are faced with prodigious amounts of data from a multitude of heterogeneous data sources in a compliant manner, as mandated by requ...
This papers presents a multi-scale method that computes robust geometric features on lidar point clouds in order to retrieve the optimal neighborhood size for each point. Three dimensionality features...
In this paper, we make some analysis on the FitzHugh-Nagumo model and improve it to build a neural network, and the network is used to implement visual selection and attention shifting. Each group of ...
In dual frame motion compensation (DFMC), one short-term reference frame and one long-term reference frame (LTR) are utilized for motion compensation. The performance of DFMC is heavily influenced by ...
This paper proposed a linear rate-distortion (RD) cost model for skip mode in H.264. The proposed RD cost model is derived theoretically based on the quantization scheme of H.264, and the simulation r...
In this letter, clonal selection algorithm (CSA) with singular value decomposition (SVD) method is investigated for the realization of two-dimentional (2D) infinite-impulse response (IIR) filters with...
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...
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...
Reduced Resolution Update (RRU) video coding provides a better compression performance than H.264/AVC does. It is implemented by encoding the predicted residuals after downsampling at the encoder and...
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...
In this paper, we address the antenna selection problem in spatially correlated multiple-input multiple-output (MIMO) channels. To reduce the severe performance degradation of the traditional anten...
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...

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