Sparse Reconstruction Cost for Abnormal Event Detection pot
Sparse Reconstruction Cost for Abnormal Event Detection pot
... is0.8s/frame for GAE, 3.8s/frame for UCSD dataset, and4.6s/frame for the Subway dataset.5. ConclusionWe propose a new criterion for abnormal event detec-tion, namely the sparse reconstruction cost ... con-tains one abnormal event. Three different levels of mea-surements are applied for evaluation, which are Pixel-level,Frame-level and Event- level measurements.4.1. Global Abnormal Event Detection The ... Sparse Reconstruction Cost for Abnormal Event Detection Yang Cong1, Junsong Yuan1, Ji Liu21School of EEE, Nanyang...
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Tài liệu Semi-supervised Adapted HMMs for Unusual Event Detection docx
... that there is no need for unusual event training data for our approach. For the un-supervised HMM, there is no need for training data. Thepercentage of frames for unusual events in the test sequenceis ... Two standard HMM models, one for usual events and one for unusual events, are trained usingmanually labeled training data according to E quation 1. For testing, the event boundary is obtained ... follows:FARnumber of FAsnumber of u sual event samples(9)FRRnumber of FRsnumber of unusual event samples(10)The performance for an ideal event detection algorithmshould have low values...
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Báo cáo khoa học: "Using Derivation Trees for Treebank Error Detection" potx
... Association for Computational Linguistics:shortpapers, pages 693–698,Portland, Oregon, June 19-24, 2011.c2011 Association for Computational LinguisticsUsing Derivation Trees for Treebank Error Detection Seth ... andpoints on either side). See Dickinson and Meur-ers (2003b) for details. This work forms the basis for the DECCA system.12.2 Motivation for Our Approach(2) a. NPqmpsummitNP$rmSharmNPAl$yxthe ... SheikhNP#a3qmpsummit#b1S:1.2NPNP^$rmSharm#b2NPAl$yxThe Sheikh For (2a) For (2b) For (2c) A:1.1,left#b3NPAl$yxThe SheikhA:1.1,left#c3$rmSharmFigure 1: Etrees and Derivation Trees for (2abc).tree-substitution, sister-adjunction,...
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Báo cáo khoa học: "Word Sense Induction for Novel Sense Detection" pot
... use these annotations for formal evaluation — only for selecting items for our dataset — we do not carry out an inter-annotator agreement study here. We eliminate anylemma for which we find evidence ... gold-standard informationon sense granularity for each target word, and isdone to establish an upper bound score for LDA.We then relax the assumption, and use a fixed Tsetting for each of sets ... alittle for nouns, it worsened for verbs. This obser-vation is not unexpected: as the hyperparameterswere optimised for nouns in their experiments,the settings might not be appropriate for verbs.This...
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Báo cáo khoa học: "A Novel Burst-based Text Representation Model for Scalable Event Detection" pptx
... performance ofburst detection. We use TVBurst as the default burst detection algorithm in later experiments.Then we compare the performance of differ-ent text representation models for event ... amount of space for storageand time for downstream processing.To address these difficulties, in this paper, we pro-pose a burst based text representation method for scalable event detection. The ... documents. However, it requires efforts for function selection and parameters tuning. Wesummarize these discussions in Table 1.3 split-cluster-merge algorithm for event detection In this section,...
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Learning Latent Temporal Structure for Complex Event Detection pdf
... Latent Temporal Structure for Complex Event Detection ∗Kevin Tang Li Fei-Fei Daphne KollerComputer Science Department, Stanford University{kdtang,feifeili,koller}@cs.stanford.eduAbstractIn this ... dmax for all states and the number of states S for ourmodel. The potentials are defined in terms of parameters wof our model that will be learned.The first potential is a singleton appearance potential ... task, although termed event detection, is more sim-ilar to that of a retrieval task. We are given approximately150 training videos for each event, and in the two testingsets for DEV-T and DEV-O,...
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Báo cáo khoa học: "A Support Platform for Event Detection using Social Intelligence" pot
... the Association for Computational Linguistics, pages 69–72,Avignon, France, April 23 - 27 2012.c2012 Association for Computational LinguisticsA Support Platform for Event Detection using ... with facility for rich user interaction.Our starting in the development of this systemwas the Ushahidi platform,1which has high up-take for social media surveillance and informationdissemination ... substitutions (e.g. b4 “before”)and vowel lengthening (e.g. goooood “good”).3.4 GeolocationA vital component of event detection is the de-termination of where the event is happening, e.g.to...
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Audio-based Event Detection for Sports Video pot
... points for each event, which aided this process.Using this information, a window from the start of the event to the end of thecrowd response was created, for each true event. To measure performance, ... alarger training sample performed better.3.2 Event Detection ResultsTo measure the event detection approach, we gathered match reports and de-tailed game statistics for two new unseen games. ... were placed in a seventh ‘ambiguous’ outlier class. Event Detection To identify key events, given a classified audio sequence, afurther decision process was formed. Since a key event triggers a...
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BEST MANAGEMENT PRACTICES GUIDEBOOK FOR SPECIAL EVENT-GENERATED WASTE IN RURAL COMMUNITIES pot
... charge for disposal) • Other costs (plastic bags, spray paint, wood for tops, gas for truck) = $25 • Total costs = $125 Savings from Avoided Disposal Cost: The difference between the cost ... Plans developed for the six participant events include cost and saving information. As a percent of total spending on an event, waste disposal tends to be small. As a result, the potential savings ... dimensional lumber used for displays and booths are commonly found in the waste at the end of events. These materials can be diverted for reuse or chipped for mulch, bio-mass fuel, or for composting....
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Lucid Dreaming: Reliable Analog Event Detection for EnergyConstrained Applications ppt
... as event detection sensors, e.g.,– Solar cells, for light;– Unbiased microphones, for audio;– Piezoelectric elements, for vibration; and– Peltier elements, for temperature differences.• Event ... output characteristics solely for the purposeof event detection. For example, in the ACM applica-tion, the geophone is used to detect events. However,upon detecting an event, the system activates ... used for detection of events but not necessarily for recording detailed measurements of them.3. Events are rare and the computation and/or commu-nication they trigger is short relative to the event...
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