BOW

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AcronymDefinition
BOWBecoming an Outdoors Woman (various organizations)
BOWBeginning of Week
BOWBureau of Wildlife (various locations)
BOWBusiness Opportunities for Women (various locations)
BOWBattle of Wits
BOWBank of the West (Oak Creek, California)
BOWBag of Words (text representation)
BOWBlessing of Wisdom (World of Warcraft)
BOWBread on the Waters
BOWBag of Waters
BOWBitch on Wheels
BOWBottom of Wall
BOWBio-Organic Weapon (Resident Evil game)
BOWBasic Operating Weight (aviation)
BOWBack of Wall
BOWBill of Work
BOWBethlehem Olive Wood
BOWBlue Ocean Wireless Ltd. (Dublin, Ireland)
BOWBrotherhood of Warez
BOWBeginning of Window (launch)
BOWBrowsable On-air Witness (TV studio loop video recorder for legal proof/monitoring; EVS Broadcast Equipment)
BOWBright Object Warning
BOWBattalion Orderly Warrant
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References in periodicals archive ?
There are basically 4 steps in order to have a basic implementation of the bag of words object classification:
The "bag of words" approach has been applied commercially in finance for more than 10 years.
One of the most widely used approaches for representing images for object categorization is the Bag of Words (BoW) approach [5].
It no longer regards text as an aggregation of independent words; consequently, the problem of "a bag of words" in classic text representation is solved.
Because the traditional bag of words model does not consider the visual spatial information between local features, and it ignores the position order information of the image features, which is not conducive to the image feature extraction space.
We search COCA for the collocations of Seafood, Sea, and Food and group these collocations into a bag of words that serves as the basis of our vector.
Bag of Visual Word is an extension of Bag of Words concept.
In the BoHB method, Bag of Words has been replaced by Bag of Hash Bits.
These precision-recall curves include classification results obtained using clustered local descriptors accordingly with the bag of words approach; as well as global descriptors compared directly with those stored in the database which employ L2 norm and K-nearest neighbors.
To apply the bag of words model in the visual domain, it's necessary to create a vocabulary of visual words.
On this basis, pain is represented by visual words using the method of BoW (bag of words).
Fusiello, "A bag of words approach for 3d object categorization," in Proceedings of the 4th International Conference on Computer Vision/Computer Graphics Collaboration Techniques, pp.