198 results found.
Year: 2013, Volume: 13, Number: 3
... (HCRF) and explicit duration model (EDM). They The input for the image processing chain consists of a compare the results and conclude that, after clustering, movie (of around 100 frames) from the Kinect camera. In model complexities are reduced and recognition rates fact, one has at each instance of ...
Terms matched: 1 - Score: 9 - 699k
Year: 2013, Volume: 13, Number: 3
... of both algorithms in terms of combination with a similarity-driven cluster merging processing time and sensitivity to point cloud method ... , the planar facts mentioned above, we present a clustering algorithm for surfaces are recognized from the segmentation results ... , lie on the same segment: the number of clusters beforehand and improper 1. n p and nq ...
Terms matched: 5 - Score: 282 - 1,067k
Year: 2013, Volume: 13, Number: 3
... , we are service for wide area adaptive backup protection. A new fault using mainly Breadth-first search, Depth-first search and discriminant technology based on the criterion for fault cluster analysis, and seeking after for the uniform laws of category and non-fault category will be explored. In the electrical quantities' marked changes. According to line ...
Terms matched: 1 - Score: 3 - 632k
Year: 2013, Volume: 13, Number: 2
... [17] S. Pohoaţă, O. Geman, A. Graur, "Dual tasking: gait and tremor in Parkinson's disease – acquisition, processing and clustering," in Proc. disease used for detecting the tremor and the video systems of the National Symposium of Theoretical Electrical Engineering, are really qualitative and quantitative ...
Terms matched: 1 - Score: 3 - 657k
Year: 2013, Volume: 13, Number: 1
... model. example of X-ray can be observed in Fig. 1. For automated medical image segmentation, a new fuzzy level set algorithm [15] uses fuzzy clustering as the initial level set function. The fuzzy level set method is derived from the classical Hamilton-Jacobi functional and it is enhanced with locally regularized evolution. Even ...
Terms matched: 1 - Score: 9 - 1,239k
Year: 2013, Volume: 13, Number: 1
... Molva, "Privacy Preserving TABLE I. FUNCTIONALITY COMPARISON WITH [1 ], [4] -[ 6 ], [9]. Products Tracking in Clustered Supply Chain", Proc. Functionality Ours [1] [5] [6] [9] [4] SENSORCOMM'11, pp. 399-404, ...
Terms matched: 1 - Score: 3 - 629k
Year: 2013, Volume: 13, Number: 1
... model by starting from whole process, a parallel architecture can be easily a single MIMO NN is frequently adopted in literature, the implemented since each node of the cluster is used to train proposed method introduces three other steps: 1) a further SISO NNs separately (see [17]). The optimization of decomposition ...
Terms matched: 1 - Score: 8 - 689k
Year: 2012, Volume: 12, Number: 4
... interconnected neurons percent of the images were used as the training sample for is a mode of network connection with the environment. In each type of images. This clusterization can lead to the this context we may speak about an environment model- situation that classes formed, to which input patterns fall, related training paradigm. ...
Terms matched: 1 - Score: 19 - 701k
Year: 2012, Volume: 12, Number: 4
... [25] O., Younis, S., Fahmy, "Distributed Clustering in Ad-Hoc Sensor 10.1109/MWC.2008.4599225. Networks: A Hybrid, Energy-Efficient Approach ... optimized energy RTC/TCXO/Crystal, 2010. efficiency and minimum delay in clustered wireless sensor networks", [38] ** *, 8-bit Atmel ...
Terms matched: 2 - Score: 5 - 529k
Year: 2012, Volume: 12, Number: 3
... shape hypothesis is similarity measurement between points is defined to cluster prohibitively large. 3D HT is time-consuming and high ... work [22] was used to III. SIMILARITY-BASED CLUSTERING segment the trees in the scene, which is ... on k nearest neighboring clustering. The raw point cloud data P is Inspired by the graph-based image segmentation [ ...
Terms matched: 7 - Score: 550 - 838k