DeVito. Watercolor by me, today. Bad choice of paper, too rough. Should I add a…
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Pattern formation by droplet evaporation and imbibition in watercolor paintings
Watercolor or aquarelle is one of the oldest painting methods in which pigments suspended in an aqueous liquid are deposited over a substrate, typically an absorbing material such as paper. The physical processes which lead to pattern formation have...
denkasunny/Create-stickers
create stickers of flower , pastel shade, vector art watercolor shade, print digital paper illustration for Instagram, white background,Vector, 4K (⭐ 0)
Watercolor on paper,Size 15 X 22 inches
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Gouache - Wikipedia
Gouache is similar to watercolor in that it can be rewetted and dried to a matte finish, and the paint can become infused into its paper support. It is similar
Stream State-tying for Sign Language Recognition
In this paper, a novel approach to sign language recognition based on state tying in each of data streams is presented. In this framework, it is assumed that hand gesture signal is represented in terms of six synchronous data streams, i.e., the left/...
On genuine invariance learning without weight-tying
In this paper, we investigate properties and limitations of invariance learned by neural networks from the data compared to the genuine invariance achieved through invariant weight-tying. To do so, we adopt a group theoretical perspective and analyze...
UF-HOBI at "Discharge Me!": A Hybrid Solution for Discharge Summary Generation T…
Automatic generation of discharge summaries presents significant challenges due to the length of clinical documentation, the dispersed nature of patient information, and the diverse terminology used in healthcare. This paper presents a hybrid solutio...
Structural Multi-type Sequent Calculus for Inquisitive Logic
In this paper, we define a multi-type calculus for inquisitive logic, which is sound, complete and enjoys Belnap-style cut-elimination and subformula property. Inquisitive logic is the logic of inquisitive semantics, a semantic framework developed by...
Inquisitive Logic as an Epistemic Logic of Knowing How
In this paper, we present an alternative interpretation of propositional inquisitive logic as an epistemic logic of knowing how. In our setting, an inquisitive logic formula $α$ being supported by a state is formalized as "knowing how to resolve $α...
Students' understanding of the 2D Heat Equation: An APOS approach
In this paper, we use the APOS theoretical framework to validate a hypothetical learning trajectory of the 2D heat equation, a preliminary genetic decomposition that stresses the conceptual understanding of its mathematical formulation. We design que...
Multimodal Belief Prediction
Recognizing a speaker's level of commitment to a belief is a difficult task; humans do not only interpret the meaning of the words in context, but also understand cues from intonation and other aspects of the audio signal. Many papers and corpora in...
Exploiting Semantic Epsilon Greedy Exploration Strategy in Multi-Agent Reinforce…
Multi-agent reinforcement learning (MARL) can model many real world applications. However, many MARL approaches rely on epsilon greedy for exploration, which may discourage visiting advantageous states in hard scenarios. In this paper, we propose a n...
Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitt…
This paper introduces a large collection of time series data derived from Twitter, postprocessed using word embedding techniques, as well as specialized fine-tuned language models. This data comprises the past five years and captures changes in n-gra...
Versatile Stochastic Two-Sided Platform Models
This paper deals with the alternative mathematical modeling of the two-side platform. Two-sided platforms are specific multi-sided platforms that bring together two distinct groups of a model. The stochastic modeling by adapting various innovative ma...
DataLab: A Platform for Data Analysis and Intervention
Despite data's crucial role in machine learning, most existing tools and research tend to focus on systems on top of existing data rather than how to interpret and manipulate data. In this paper, we propose DataLab, a unified data-oriented platform t...
Outage Probability Analysis of Uplink Cell-Free Massive MIMO Network with and wi…
This paper derives approximate outage probability (OP) expressions for uplink cell-free massive multiple-input-multiple-output (CF-mMIMO) systems with and without pilot contamination. The system's access points (APs) are considered to have imperfect...
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
Recent advancements in dataset distillation have demonstrated the significant benefits of employing soft labels generated by pre-trained teacher models. In this paper, we introduce a novel perspective by emphasizing the full utilization of labels. We...
DORA: Toward Policy Optimization for Task-oriented Dialogue System with Efficien…
Recently, reinforcement learning (RL) has been applied to task-oriented dialogue systems by using latent actions to solve shortcomings of supervised learning (SL). In this paper, we propose a multi-domain task-oriented dialogue system, called Dialogu...
Framing Responsible Design of AI for Mental Well-Being: AI as Primary Care, Nutr…
Millions of people now use non-clinical Large Language Model (LLM) tools like ChatGPT for mental well-being support. This paper investigates what it means to design such tools responsibly, and how to operationalize that responsibility in their design...