Results 11 - 20 of 237

AUTOMATIC OBJECT EXTRACTION FROM FULL DIFFERENTIAL MORPHOLOGICAL PROFILE IN URBAN IMAGERY FOR EFFICIENT OBJECT INDEXING AND RETRIEVALS

by C. R. Shyu , G. Scott , M. Klaric , C. H. Davis , et al.
"... The differential morphological profile (DMP) can be used for automated extraction of multi-scale urban features, such as buildings, shadows, roads, and other man-made objects. However, characterization of urban features using the DMP is complicated by the fact that some objects will have response at ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
at multiple-scales within the DMP. This makes robust and efficient object indexing and retrieval difficult for large-scale remote sensing image databases utilized in the defense and intelligence communities. To address this issue, in this paper we present a novel approach called Multi-scale Extraction

A Sampling-Based Approach to Optimizing Top- Queries in Sensor Networks

by Adam Silberstein, Rebecca Braynard, Carla Ellis, Kamesh Munagala, Jun Yang
"... Wireless sensor networks generate a vast amount of data. This data, however, must be sparingly extracted to conserve energy, usually the most precious resource in batterypowered sensors. When approximation is acceptable, a model-driven approach to query processing is effective in saving energy by av ..."
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the power and flexibility of our sampling-based approach by developing a series of top- � query planning algorithms with linear programming, which are capable of efficiently producing plans with better performance and novel features. We show that our approach is both theoretically sound and practically

KSPOT +: A NETWORK-AWARE FRAMEWORK FOR ENERGY-EFFICIENT DATA ACQUISITION IN WIRELESS SENSOR NETWORKS

by Panayiotis G. Andreou
"... Wireless Sensor Networks (WSNs) are composed of resource-constrained tiny-scale devices that enable users to monitor the physical world at an extremely high fidelity. In order to collect the data generated by these tiny-scale devices, the data management community has proposed the utilization of dec ..."
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not support advanced query processing semantics. In this dissertation we present KSpot +, a novel distributed network-aware framework for query-based data acquisition in WSNs that optimizes network efficiency by combining three novel components: i) the Tree Balancing Module, which balances the workload

MaturePred: Efficient Identification of MicroRNAs within Novel Plant Pre-miRNAs

by Ping Xuan, Maozu Guo, Yangchao Huang, Wenbin Li, Yufei Huang
"... Background: MicroRNAs (miRNAs) are a set of short (19,24 nt) non-coding RNAs that play significant roles as posttranscriptional regulators in animals and plants. The ab initio prediction methods show excellent performance for discovering new pre-miRNAs. While most of these methods can distinguish re ..."
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RNA:miRNA * duplex is regarded as a whole to capture the binding characteristics of miRNAs. We extract the position-specific features, the energy related features, the structure related features, and stability related features from real/pseudo miRNA:miRNA * duplexes. A set of informative features are selected

AUTOMATIC OBJECT EXTRACTION FROM FULL DIFFERENTIAL MORPHOLOGICAL PROFILE IN URBAN IMAGERY FOR EFFICIENT OBJECT INDEXING AND RETRIEVALS

by C. R. Shyu A, G. Scott A, M. Klaric A, C. H. Davis A
"... The differential morphological profile (DMP) can be used for automated extraction of multi-scale urban features, such as buildings, shadows, roads, and other man-made objects. However, characterization of urban features using the DMP is complicated by the fact that some objects will have response at ..."
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at multiple-scales within the DMP. This makes robust and efficient object indexing and retrieval difficult for large-scale remote sensing image databases utilized in the defense and intelligence communities. To address this issue, in this paper we present a novel approach called Multi-scale Extraction

Rank extraction in tin-oxide sensor arrays

by Denise M. Wilson, Kevin Dunman, Ronald Kalim - Sensors and Actuators B , 2000
"... It is shown that data preprocessing by rank-order filtering can significantly improve the odor discrimination capability of an array of chemical sensors, while simultaneously reducing the amount of data to be processed. This work is a first example in feature extraction from tin-oxide sensors that b ..."
Abstract - Cited by 4 (0 self) - Add to MetaCart
It is shown that data preprocessing by rank-order filtering can significantly improve the odor discrimination capability of an array of chemical sensors, while simultaneously reducing the amount of data to be processed. This work is a first example in feature extraction from tin-oxide sensors

U-INVARIANT SAMPLING 1 U-Invariant Sampling: Extrapolation and Causal Interpolation from Generalized Samples

by Tomer Michaeli, Volker Pohl Member, Yonina C. Eldar, Senior Member
"... Abstract—Causal processing of a signal’s samples is crucial in on-line applications such as audio rate conversion, compression, tracking and more. This paper addresses the problems of predict-ing future samples and causally interpolating deterministic sig-nals. We treat a rich variety of sampling me ..."
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Abstract—Causal processing of a signal’s samples is crucial in on-line applications such as audio rate conversion, compression, tracking and more. This paper addresses the problems of predict-ing future samples and causally interpolating deterministic sig-nals. We treat a rich variety of sampling

Statistical Motion Information Extraction and Representation for Semantic Video Analysis

by Georgios Th. Papadopoulos, Alexia Briassouli, Vasileios Mezaris, Ioannis Kompatsiaris, Michael G. Strintzis , 2009
"... In this paper, an approach to semantic video analysis that is based on the statistical processing and representation of the motion signal is presented. Overall, the examined video is temporally segmented into shots and for every resulting shot appropriate motion features are extracted; using these, ..."
Abstract - Cited by 6 (3 self) - Add to MetaCart
In this paper, an approach to semantic video analysis that is based on the statistical processing and representation of the motion signal is presented. Overall, the examined video is temporally segmented into shots and for every resulting shot appropriate motion features are extracted; using these

IEEE TRANSACTIONS ON IMAGE PROCESSING 1 Spatial Pooling of Heterogeneous Features for Image Classification

by Lingxi Xie, Qi Tian, Senior Member, Bo Zhang
"... Abstract—In image classification tasks, one of the most success-ful algorithms is the Bag-of-Features (BoF) model. Although the BoF model has many advantages such as simplicity, generality and scalability, it still suffers from several drawbacks, including the limited semantic description of local d ..."
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to improve the BoF model to some extent, there still lacks a coherent scheme to integrate each individual module together. To address the problems above, we propose a novel framework with spatial pooling of complementary features. Our model expands the traditional BoF model on three aspects. First, we

1 A Robust Heart Sounds Segmentation Module Based on S-Transform

by Ali Moukadem, Alain Dieterlen, Nicolas Hueber, Christian Brandt
"... This paper presents a new module for heart sounds segmentation based on S-Transform. The heart sounds segmentation process segments the PhonoCardioGram (PCG) signal into four parts: S1 (first heart sound), systole, S2 (second heart sound) and diastole. It can be considered one of the most important ..."
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are proposed in this study. The method named SSE calculates the Shannon Energy of the local spectrum calculated by the S-transform for each sample of the heart sound signal. The second block contains a novel approach for the boundaries detection of S1 and S2. The energy concentrations of the S
Results 11 - 20 of 237