Results 1 - 10 of 68,193

Table 1: Comparison of several background modeling techniques.

in A Background Model Initialization Algorithm for Video Surveillance
by D. Gutchess, M. Trajkovic, E. Cohen-Solal, D. Lyons, A. K. Jain 2001
Cited by 15

Table 1: Best results for the background models

in E-HMM approach for learning and adapting sound models
by For Speaker Indexing, Sylvain Meignier, Jean-françois Bonastre, Stéphane Igounet 2001
Cited by 5

Table 1 Characteristics of background modeling algorithms

in Abstract Real-Time Imaging] (]]]])]]]–]]] Real-time foreground–background segmentation using codebook model
by Kyungnam Kim A, Thanarat H. Chalidabhongse B, David Harwood A, Larry Davis A

Table 1. Comparison of several background modeling techniques.

in A Background Model Initialization Algorithm for Video Surveillance
by D. Gutchess Ý, M. Trajković Þ, E. Cohen-solal Þ, D. Lyons Þ, A. K. Jain Ý

Table 1. Background modeling schemes and their parameters.

in Robust Background Subtraction With Foreground Validation For Urban Traffic Video
by Sen-ching S. Cheung, Chandrika Kamath
"... In PAGE 7: ... Based on our earlier work in [22], we have selected particular values for the parameters in these algorithms that perform well in our test sequences. These flxed parameters are listed in Table1 . The most sensitive parameter in each algorithm is used as the test parameter to show the trade-ofi between false-positives and false-negatives.... ..."

Table 7: Background models used for TDT based system.

in Project ref. no. IST-1999 10354
by Project Title Alert, Author(s R. Amaral, I. Trancoso (inesc, C. Barras, E. Bilinski, J. L. Gauvain, L. Lamel, Y. Y. Lo, U. Iurgel, A. Kosmala (unidu
"... In PAGE 28: ....5.1 Background model and Lexicon The background (or general French) model is trained on texts from the French newspaper Le Monde and automatic transcriptions of broadcast news data from the F2, TF1 television shows. Two background models were estimated using different size lexicons and stoplists, and different amounts of newspaper texts for training (see Table7 ). The texts were pro- cessed according to our standard language modeling normalization, followed by stopping, stemming, and compounding.... ..."

Table 1. Proposed algorithm for combining appearance and background modeling.

in TRACKING OBJECTS IN VIDEO USING MOTION AND APPEARANCE MODELS
by Aswin C Sankaranarayanan, Qinfen Zheng
"... In PAGE 3: ... Simul- taneously this formulation also minimizes the cost that the tracked region comes from the appearance model and the rest of the observation comes from the background model. For sake of completeness, the algorithm is illustrated in Table1 . Note that the general particle filtering algorithm de- scribed in Table 1, involves the use of an importance func- tion a66a56a1 a2 a7 a54a61a5a63a62 a55 a13a76a3a16a5a12a11 .... In PAGE 3: ... For sake of completeness, the algorithm is illustrated in Table 1. Note that the general particle filtering algorithm de- scribed in Table1 , involves the use of an importance func- tion a66a56a1 a2 a7 a54a61a5a63a62 a55 a13a76a3a16a5a12a11 . The importance function is crucial for precise estimation of the pdf, especially when the sample size a99 is small.... ..."

Table 6 Background data for model prediction

in Optimal Design of Internet-based Auctions
by Carrie Beam, Arie Segev, J. George Shanthikumar 1999
"... In PAGE 3: ........... 24 Table6 Background data for model prediction .... ..."
Cited by 2

Table 1. Here, two background models are used, one, obtained

in Caller Identification for the SCANMail Voicemail Browser
by Aaron Rosenberg, Julia Hirschberg, Michiel Bacchiani, S Parthasarathy, Philip Isenhour, Larry Stead
"... In PAGE 3: ... The outgroup messages are the same set of 220 messages used for the large-scale evaluation. Results are shown in the second row of Table1 . Performance is significantly better than that obtained for the 20-caller evalu- ation, with 0.... ..."

Table B.1: The number of graphs which have different status as motifs against the two background models considered, e.g. motif against one background model and anti-motif against the other.

in Networks
by Joshua A. Grochow, Manolis Kellis, Joshua A. Grochow 2006
Results 1 - 10 of 68,193