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M.I.T. bag model

3D-model retrieval using bag-of-features based on closed curves

3D-model retrieval using bag-of-features based on closed curves

... Abstract Bag-of-feature technique is a popular approach in areas of computer vision and pattern ...our bag-of-features. Then we cluster the bag-of-features in the sense in accurate ...

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Bag-of-Bags of Words model over irregular graph partitions for image retrieval

Bag-of-Bags of Words model over irregular graph partitions for image retrieval

... BBoW model has been inspired by bag-of-words model [1] for image description and the idea that an irregular partition into a fixed number of graphs is a step in-between an arbitrary regular partition ...

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The bag-of-frames approach: a not so sufficient model for urban soundscapes

The bag-of-frames approach: a not so sufficient model for urban soundscapes

... The “bag-of-frames” approach (BOF), which encodes au- dio signals as the long-term statistical distribution of short-term spectral features, is commonly regarded as an effective and sufficient way to represent ...

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Etude et analyse de différents dispositifs externes de sécurité-innocuité de type safety bag

Etude et analyse de différents dispositifs externes de sécurité-innocuité de type safety bag

... Acquire data Argue Fig. 7 – Le Domino process model tir´e de [FD00] – les dangers (hazard ) qui sont l’´equivalent des situations dangereuses [ISO99]. Cette s´eparation (qui peut sembler ambigu¨e car les dangers ...

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Deformable Shape Retrieval using Bag-of-Feature techniques

Deformable Shape Retrieval using Bag-of-Feature techniques

... In recent years, a large number of papers are concerned in 3D-shape matching. 1 Most of the current 3D-shape matching approaches are based on global similarity. Some methods directly analyze the 3D-mesh — such as Antini ...

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Non-rigid 3D shape classification using Bag-of-Feature techniques

Non-rigid 3D shape classification using Bag-of-Feature techniques

... Terms— Bag-of-Feature, 3D-Shape, ...object model to one ...recognition, bag-of-feature methods (BoF) have recently gained great popularity due to the introduction of the scale invariant feature ...

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A bag-of-paths framework for network data analysis

A bag-of-paths framework for network data analysis

... Instead of taking the pseudoinverse of the Laplacian matrix, a simple regu- larization leads to a kernel called the regularized commute-time kernel [48], with a nice interpretation in terms of the matrix-forest theorem ...

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Bag of recurrence patterns representation for time-series classification

Bag of recurrence patterns representation for time-series classification

... signals. Bag of Features (BoF) model has achieved a great success in TSC task by summa- rizing signals according to the frequencies of ”feature words” of a data-learned ...BoF model for ...proposed ...

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Baseline sleeping bag system evaluation: mass, packing volume, and thermal insulation

Baseline sleeping bag system evaluation: mass, packing volume, and thermal insulation

... sleeping bag system used by the Canadian Armed Forces (Canadian Armed Forces ...sleeping bag system and was carried out in accordance with the statement of work (SOW) that was provided by DND ...sleeping ...

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Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

Fair scheduling of bag-of-tasks applications using distributed Lagrangian optimization

... 6.2. Applications As we have previously explained in Section 2.1, existing workload characterization studies [14, 15, 16] do not provide any information on communications since such infor- mation can generally not be ...

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Fuzzy indexing for bag of features scene categorization

Fuzzy indexing for bag of features scene categorization

... Moncton, Canada nabil.belacel@nrc-cnrc.gc.ca Abstract—This paper presents a novel Bag of Features (BoF) method for image classification. The BoF approach describes an image as a set of local descriptors using a ...

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Model Rain and Clouds over Oceans: Comparison with SSM/I Observations

Model Rain and Clouds over Oceans: Comparison with SSM/I Observations

... The geometry of the hydrometeor profiles in the fore- cast scheme is rather complex. Indeed, fractional cloud cover and fractional precipitation cover are defined sep- arately in each atmospheric layer. The cloud layers ...

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Cohesive zone model identification on mode I bonded assembly: sensitivity analysis

Cohesive zone model identification on mode I bonded assembly: sensitivity analysis

... 3.2 Model definition The analytic model, presented in section ...mode I as well as the surface area under the linear part, respectively termed 𝐺 𝑐 and 𝑌 0 ...

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Hollow cathode modeling: I. A coupled plasma thermal two-dimensional model

Hollow cathode modeling: I. A coupled plasma thermal two-dimensional model

... current collected from the keeper is set to = 1.5 . Simulations that result from the coupled model (both plasma and thermal aspects) will be compared to measurements in a companion paper [17]. In practice, the ...

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Reduced resistive MHD with general density I: Model and stability results

Reduced resistive MHD with general density I: Model and stability results

... the model without using expansion with respect to ε: this is precisely what we do in Section 3 , even if it is possible to recover the basic reduced MHD model as a limit of our model (see Remark 6 ...

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Character decomposition of Potts model partition functions. I. Cyclic geometry

Character decomposition of Potts model partition functions. I. Cyclic geometry

... in the middle part of Fig. 1. A formal expression of the transfer matrix is given in [5]. Here we just give the practical rules to calculate its elements. As in the case of free longitudinal boundary conditions, there ...

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Cohesive zone model identification on mode I bonded assembly: sensitivity analysis

Cohesive zone model identification on mode I bonded assembly: sensitivity analysis

... 3.2 Model definition The analytic model, presented in section ...mode I as well as the surface area under the linear part, respectively termed 𝐺 𝑐 and 𝑌 0 ...

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Multiple instance learning for sequence data with across bag dependencies

Multiple instance learning for sequence data with across bag dependencies

... each bag contains the protein named Endonuclease III, but it is expressed differently from one bag to another: these are called orthologous proteins (Fang et ...

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Fanum de Vertillum : une fosse aux chevaux

<i>Fanum</i> de <i>Vertillum</i> : une fosse aux chevaux

... L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignemen[r] ...

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Représentations médiatiques des millenials : étude de cas de NEON et Millennials

Représentations médiatiques des <i>millenials</i> : étude de cas de <i>NEON</i> et <i>Millennials</i>

... En effet, dans la mesure où nous étudions les représentations médiatiques des millennials et que pour la doxa, la distinction entre tendances et modes relève de l’accessoire, [r] ...

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