Results 51 to 60 of about 77,994 (293)
Semantics-Preserving Bag-of-Words Models and Applications
IEEE Transactions on Image Processing, 2010 The Bag-of-Words (BoW) model is a promising image representation technique for image categorization and annotation tasks. One critical limitation of existing BoW models is that much semantic information is lost during the codebook generation process, an important step of BoW.
WU, Lei, HOI, Steven C. H., YU, Nenghai
openaire +4 more sources
Scale Coding Bag-of-Words for Action Recognition
2014 22nd International Conference on Pattern Recognition, 2014 Recognizing human actions in still images is a challenging problem in computer vision due to significant amount of scale, illumination and pose variation. Given the bounding box of a person both at training and test time, the task is to classify the action associated with each bounding box in an image. Most state-of-the-art methods use the bag-of-words
Khan, Fahad Shahbaz +3 more
openaire +4 more sources
Video matching method based on "bag of words"
Tongxin xuebao, 2007 A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words ...
LI Yuan-ning1 +3 more
doaj +2 more sources
Dissimilarities Detections in Texts Using Symbol n-grams and Word Histograms
Open Computer Science, 2016 Texts (books, novels, papers, short messages) are sequences of sentences, words or symbols. Each author has an unique writing style. It can be characterized by some collection of attributes obtained from texts.
Andrejková Gabriela +1 more
doaj +1 more source
Using graph-kernels to represent semantic information in text classification [PDF]
, 2009 Most text classification systems use bag-of-words represen- tation of documents to find the classification target function. Linguistic structures such as morphology, syntax and semantic are completely ne- glected in the learning process.
G. Salton +14 more
core +2 more sources
Enhanced spatial pyramid matching using log-polar-based image subdivision and representation [PDF]
, 2010 This paper presents a new model for capturing spatial information for object categorization with bag-of-words (BOW). BOW models have recently become popular for the task of object recognition, owing to their good performance and simplicity. Much work has
Mayo, Michael, Zhang, Edmond Yiwen
core +2 more sources
Enriching basic features via multilayer bag-of-words binding for Chinese question classification
CAAI Transactions on Intelligence Technology, 2019 Question classification helps to generate more accurate answers in question answering system. For an efficient question classifier, one of the most important tasks is to fully mine useful features.
Sichun Yang, Chao Gao
doaj +1 more source
Active Learning for Medical Article Classification with Bag of Words and Bag of Concepts Embeddings
Applied SciencesSystems supporting systematic literature reviews often use machine learning algorithms to create classification models to assess the relevance of articles to study topics.
Radosław Pytlak +3 more
doaj +1 more source
Location recognition in laparoscopic surgery
Current Directions in Biomedical Engineering, 2022 Navigation systems play an increasingly important role in minimally invasive surgery (MIS) by mitigating the problems rising from the decoupling of hand-eye movement of the surgeon.
Gaubatz Jakob +2 more
doaj +1 more source
Distributed Representations of Sentences and Documents [PDF]
, 2014 Many machine learning algorithms require the input to be represented as a fixed-length feature vector. When it comes to texts, one of the most common fixed-length features is bag-of-words.
Le, Quoc V., Mikolov, Tomas
core +1 more source