Results 51 to 60 of about 80,037 (309)
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
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
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
The application of parallel computing in the bag of words model algorith
上海师范大学学报. 自然科学版, 2017 Traditional bag of words (BoW) model has been widely used in image classification,and achieves better results.But in the traditional bag of words model only the serial computation is considered,making the whole process takes a long time.In this paper the
Xu Tong +3 more
doaj +1 more source
Investigating the Bag-of-Words Method for 3D Shape Retrieval
EURASIP Journal on Advances in Signal Processing, 2010 This paper investigates the capabilities of the Bag-of-Words (BWs) method in the 3D shape retrieval field. The contributions of this paper are (1) the 3D shape retrieval task is categorized from different points of view: specific versus generic, partial ...
Afzal Godil, Xiaolan Li
doaj +2 more sources
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
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
Image classification by visual bag-of-words refinement and reduction
, 2015 This paper presents a new framework for visual bag-of-words (BOW) refinement and reduction to overcome the drawbacks associated with the visual BOW model which has been widely used for image classification.
Lu, Zhiwu, Wang, Liwei, Wen, Ji-Rong
core +1 more source
Advanced Functional Materials, EarlyView.This work demonstrates the successful integration of a phenanthroline‐based 2D COF with MnI catalytic sites into a catholyte‐free membrane‐electrode‐assembly cell for CO2 electroreduction. The crystalline COF actively suppresses Mn⁰–Mn⁰ dimerization, achieving a turnover frequency of 617 h⁻¹ at 2.8 V (full‐cell potential), and enabling stable operation.
Laura Spies +8 more
wiley +1 more source