Bag of features
A Food Recognition System for Diabetic Patients Based on an Optimized Bag-of-Features
... the bag- of-features (BoF) ...local features, using the scale-invariant feature transform on the HSV color space, builds a visual dictionary of 10000 visual words by using the hierarchical k-means ...
6
Analysing the Quality of Phaseolus Vulgaris Family of Legumes using Artificial Neural Network and “Bag of Features” Techniques
... of Features) technique was utilized for image features extraction in the SVM (Support Vector Machine) environment for quality classification of Phaseolus Vulgaris family of ...
5
One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features
... on bag of features for one-shot learning ges- ture ...existing features such as Cuboid (Doll´ar et ...EMoSIFT features are scale and rotation invariant and can capture more compact and richer ...
34
CBIR Framework based on Bag-of-Features (BoF) and Super Vector Coding (SVC)
... The bag-of-features (BoF) [6], developed from the bag-of-words model, is probably the most popular and effective image classification framework in the recent ...
8
Video Scene Detection by Multimodal Bag of Features
... Multimodal Bag of Features. Bag of Features (BoF) has been used with success to capture latent semantics in the Image Retrieval ...extracts features - local descriptors - from images, ...
12
Bag of Features Based Remote Sensing Image Classification Using RANSAC And SVM
... classifiers. Bag-of -Words is combined with texton-based classifier for differentiating anaplastic and non-anaplastic medulloblastoma on digitized histopathology[2], the experimental results are ...superior. ...
6
A Bag of Features Based Approach for Classification of Motile Sperm Cells
... 2) Bag-of-Features (BoF): Processing large SURF vectors can represent a high computational cost. Hence, the BoF model is employed to reduce the feature representation of the images. The aim of BoF is ...
7
Image Forensic Analysis And Recognition In Copy-Move Using Bag Of Features And Svm
... effective features are available in ...SRM features from the R, G, and B channel and adds them together, and then concatenates them with another subset of features that consists of co -occurrence ...
6
Performance Evaluation and Study of Bag of Visual Words and Cascade Classifiers in Object Recognition
... The Bag of features or Bag of words is a well-known classification method for object ...created. Bag of Words is a representation based on visual ...extracted features from the training ...
5
Classification and recognition scheme for vegetable pests based on the BOF-SVM model
... the bag-of-features model and support vector machines (BOF-SVM), in combination with the recognition of major pests in algorithms for classification of vegetables [11] , ...
7
Exploiting CCG Structures with Tree Kernels for Speculation Detection
... the complex processing made by tree kernels is more useful when disambiguating speculative key- words than BF. Nonetheless, the bag-of-features approach is also of importance for the task at hand when ...
6
Location Name Disambiguation Exploiting Spatial Proximity and Temporal Consistency
... Until now, we have considered only a single tar- get tweet to estimate locations. However, the tar- get tweet sometimes contains few useful clues for LEX disambiguation because the tweet is too short. Therefore, this ...
9
EFFECTIVENESS OF THE TRIPLE-LAYER HERMETIC BIODEGRADABLE BAGS FOR BIO-RATIONAL MANAGEMENT OF AFLATOXINS IN STORED MAIZE
... The high accumulation of aflatoxins in insect-infested maize stored in interwoven polypropylene bag shows that, insect metabolic and damaging activities play a pivotal role in aflatoxins production in stored ...
19
Towards the Detection of Reliable Food Health Relationships
... high-level features in order to detect food-health re- lations that are perceived ...these features that include adverbials expressing frequent observations, state- ments made by authorities, strong polar ...
11
A Broad Coverage of Corpus for Understanding Translation Divergences
... Identifying the factors of Machine translation is the first phase of sentence pre-processing. Factored based translation models, Bag of Words, Word2vec are the techniques used in identifying the factors during ...
6
Mining Social Science Publications for Survey Variables
... a Bag of Words (BoW) representa- tion, using linguistic and conceptual features, and integrating external knowledge resources, and (B) a supervised ML model using real-valued feature vectors derived from ...
6
Classification of Diabetic Retinopathy Features using Bag of Feature Model
... extricated features along with an Artificial Neural Network ...co-occurrence features of grey level and wavelength statistical features was ...
5
Exponentially Decaying Bag of Words Input Features for Feed Forward Neural Network in Statistical Machine Translation
... two bag-of- words models to separately contain the preced- ing and succeeding words outside the context win- ...the bag-of-words feature without exponential decay weights only provides small ...The ...
6
Image Mediated Learning for Zero Shot Cross Lingual Document Retrieval
... We randomly sampled data from the dataset for each division in Table 1 without any overlap; we ignored the modality of each document that was not available in each data division (e.g., Japanese text in [train-E/I]). We ...
6
The scum bag
... And it was a good laugh." "Yeah, well, we always like good ideas," Adrian said enthusiastically.. "Spit it out." Kate poked me in the ribs.[r] ...
9