Exploring spatial–temporal relations via deep convolutional neural networks for traffic flow prediction with incomplete data
S Deng, S Jia, J Chen - Applied Soft Computing, 2019 - Elsevier
Traffic flow prediction is a fundamental component in intelligent transportation systems.
Various computational methods have been applied in this field, among which machine …
Various computational methods have been applied in this field, among which machine …
DermoDeep-A classification of melanoma-nevus skin lesions using multi-feature fusion of visual features and deep neural network
The Scientific community has been develo** computer-aided detection systems (CADs)
for automatic diagnosis of pigmented skin lesions (PSLs) for nearly 30 years. Several works …
for automatic diagnosis of pigmented skin lesions (PSLs) for nearly 30 years. Several works …
Detection of copy-move forgery using AKAZE and SIFT keypoint extraction
Digital image manipulation techniques are becoming increasingly sophisticated and
widespread. Copy-move forgery is one of the frequently used manipulation techniques. In …
widespread. Copy-move forgery is one of the frequently used manipulation techniques. In …
Directional PVO for reversible data hiding scheme with image interpolation
S Meikap, B Jana - Multimedia Tools and Applications, 2018 - Springer
Abstract Pixel Value Ordering (PVO) is an efficient data hiding scheme where pixels are
ranked in ascending order within an image block and then modify minimum and maximum …
ranked in ascending order within an image block and then modify minimum and maximum …
Curriculum learning of visual attribute clusters for multi-task classification
Visual attributes, from simple objects (eg, backpacks, hats) to soft-biometrics (eg, gender,
height, clothing) have proven to be a powerful representational approach for many …
height, clothing) have proven to be a powerful representational approach for many …
LGA: latent genre aware micro-video recommendation on social media
Social media has evolved into one of the most important channels to share micro-videos
nowadays. The sheer volume of micro-videos available in social networks often undermines …
nowadays. The sheer volume of micro-videos available in social networks often undermines …
Multi-modal joint clustering with application for unsupervised attribute discovery
Utilizing multiple descriptions/views of an object is often useful in image clustering tasks.
Despite many works that have been proposed to effectively cluster multi-view data, there are …
Despite many works that have been proposed to effectively cluster multi-view data, there are …
2D freehand sketch labeling using CNN and CRF
Accurate and fast sketch segmentation and labeling is a hard task, since sketches have
much fewer features than natural images. This paper proposes a novel hybrid approach for …
much fewer features than natural images. This paper proposes a novel hybrid approach for …
Discrete multi-graph clustering
Spectral clustering plays a significant role in applications that rely on multi-view data due to
its well-defined mathematical framework and excellent performance on arbitrarily-shaped …
its well-defined mathematical framework and excellent performance on arbitrarily-shaped …
Attribute-based synthetic network (abs-net): Learning more from pseudo feature representations
In large-scale visual recognition tasks, researchers are usually faced with some challenging
problems, such as the extreme imbalance in the number of training data between classes or …
problems, such as the extreme imbalance in the number of training data between classes or …