Sumantra Dutta Roy, Poonam Suryanarayan, "The Relation between discrete convolution /correlation and string matching, and exploring the possibility of a deterministic linear-time algorithm for discrete convolution/correlation" in Proc. IETE Journal of education, vol.51,April 2010....
The SCLSM method has shown promise in improving VQA model robustness by reducing the reliance on linguistic biases, thus encouraging the model to focus on the multimodal correlation between questions and images. While contrastive learning demonstrates significant potential for noise reduction in dependency...
A 'Relation Graph' is a graphical structure where objects are represented as nodes and the relationships among objects are represented as edges. It is commonly used in computer science to model spatial relations and interactions between entities. ...
Another milestone in methodological development marks the introduction of joint entity and relation extraction methods. The idea is to combine named entity recognition (NER) and relation extraction (RE) tasks to reduce error propagation and allow information exchange between both tasks. Among the first ...
The error bars of DN and D* derive from the uncertainty of next-higher-harmonic fit. The error bars of Darc mainly derive from those of yarc. (c) Same as b, but scaled by Tc. (d) Correlation between Tc and DN for Bi2212 from the present study (coloured circles). Also plotted ...
Moreover, the POS tags con- vey the syntactic information that could help to improve the preci- sion of relation extraction, as it is observed that there is strong correlation between ''VBD" (POS tag) and ''B-f2p" (R-MIMO tag) in dataset. The CAP tags are added as input to ...
Relation among Illumination, Brightness, and Luminous Intensity Relation between deep learning and machine learning Signals and Systems – Relation between Convolution and Correlation Components of IoT and Relation with Cloud Computing Genetic and Physical Maps the Relation Between Them Relation Between Coeffi...
Federated semi-supervised learning (FSSL) target to address the increasing privacy concerns for the practical scenarios, where data holders are limited in
On this ground, we summarize in our work interpersonal relation recognition datasets and methods aiming to help researchers to have a better understanding of the char- acteristics of the state-of-the-art. In the proposed study, we distinguish between methods that address objective relations that...
for which little data is available. Inspired by the rich semantic correlations between classes at the long tail and those at the head, we take advantage of the knowledge from data-rich classes at the head of the distribution to boost the performance of the data-poor classes at the tail. ...