Search Results for author:
Found 11 papers, 1 papers with code
Inferring, comparing and exploring ecological networks from time-series data through R packages constructnet, disgraph and dynet
We hope that these tools in R will help increase the accessibility of network tools to ecologists and other biologists, who the language for most of their analysis.
SuperOCR: A Conversion from Optical Character Recognition to Image Captioning
The existing methods normally detect where the characters are, and then recognize the character for each detected location.
Multi-modal Sentiment Analysis using Super Characters Method on Low-power CNN Accelerator Device
Recent years NLP research has witnessed the record-breaking accuracy improvement by DNN models.
System Demo for Transfer Learning across Vision and Text using Domain Specific CNN Accelerator for On-Device NLP Applications
In this paper, we implemented the text classification and sentiment analysis applications on mobile devices using CNN-DSA chips.
SuperTML: Two-Dimensional Word Embedding and Transfer Learning Using ImageNet Pretrained CNN Models for the Classifications on Tabular Data
The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach.
SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding
In this paper, we propose the SuperCaptioning method, which borrows the idea of two-dimensional word embedding from Super Characters method, and processes the information of language and vision together in one single CNN model.
SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models
The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach.
Stabilizing a Queue Subject to Action-Dependent Server Performance
We consider a discrete-time system comprising a first-come-first-served queue, a non-preemptive server, and a scheduler that governs the assignment of tasks in the queue to the server.
Applications
SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data
Tabular data is the most commonly used form of data in industry.
Squared English Word: A Method of Generating Glyph to Use Super Characters for Sentiment Analysis
The Super Characters method addresses sentiment analysis problems by first converting the input text into images and then applying 2D-CNN models to classify the sentiment.
Twisty Takens: A Geometric Characterization of Good Observations on Dense Trajectories
In nonlinear time series analysis and dynamical systems theory, Takens' embedding theorem states that the sliding window embedding of a generic observation along trajectories in a state space, recovers the region traversed by the dynamics.
Dynamical Systems Computational Geometry Algebraic Topology 37M10, 37M05, 37N99 I.3.5; G.1.m
