Artificial Intelligence, Machine Learning, Computer Vision, Natural language processing
Export Citations
9 Results
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
Searched The ACM Full-Text Collection (691,749 records)|Expand your search to The ACM Guide to Computing Literature (3,482,418 records)
Showing 1 - 9of9 Results
Select All
- research-articleAugust 2020
Identifying Documents In-Scope of a Collection from Web Archives
JCDL '20: Proceedings of the ACM/IEEE Joint Conference on Digital Libraries in 2020August 2020, pp 167–176https://doi.org/10.1145/3383583.3398540Web archive data usually contains high-quality documents that are very useful for creating specialized collections of documents, e.g., scientific digital libraries and repositories of technical reports. In doing so, there is a substantial need for ...
- research-articleSeptember 2019
Prediction of Mathematical Expression Declarations based on Spatial, Semantic, and Syntactic Analysis
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019September 2019, Article No.: 15, pp 1–10https://doi.org/10.1145/3342558.3345399Mathematical expressions (ME) and words are carefully bonded together in most science, technology, engineering, and mathematics (STEM) documents. They respectively give quantitative and qualitative descriptions of a system model under discussion. This ...
- research-articleSeptember 2019
Text Localization in Scientific Figures using Fully Convolutional Neural Networks on Limited Training Data
DocEng '19: Proceedings of the ACM Symposium on Document Engineering 2019September 2019, Article No.: 13, pp 1–10https://doi.org/10.1145/3342558.3345396Text extraction from scientific figures has been addressed in the past by different unsupervised approaches due to the limited amount of training data. Motivated by the recent advances in Deep Learning, we propose a two-step neural-network-based ...
- short-paperApril 2019
Table of Contents Recognition in OCR Documents using Image-based Machine Learning
ACM SE '19: Proceedings of the 2019 ACM Southeast ConferenceApril 2019, pp 186–189https://doi.org/10.1145/3299815.3314455The importance of automatic analysis of Optical Character Recognition (OCR) documents has been increasingly recognized to assist with efficient data managements and accessibility. However, most OCR documents are unstructured, making the analysis ...
- research-articleOctober 2018
Understanding Humans in Crowded Scenes: Deep Nested Adversarial Learning and A New Benchmark for Multi-Human Parsing
MM '18: Proceedings of the 26th ACM international conference on MultimediaOctober 2018, pp 792–800https://doi.org/10.1145/3240508.3240509Despite the noticeable progress in perceptual tasks like detection, instance segmentation and human parsing, computers still perform unsatisfactorily on visually understanding humans in crowded scenes, such as group behavior analysis, person re-...
- research-articleJuly 2018
Predict Demographic Information Using Word2vec on Spatial Trajectories
UMAP '18: Proceedings of the 26th Conference on User Modeling, Adaptation and PersonalizationJuly 2018, pp 331–339https://doi.org/10.1145/3209219.3209224Inferring socio-demographic attributes of users is an important and challenging task that could help with personalization, recommendation, advertising, etc. Sensor data collected from mobile devices can be utilized for inferring such attributes. ...
- research-articleJuly 2017
Learning locomotion skills using DeepRL: does the choice of action space matter?
SCA '17: Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer AnimationJuly 2017, Article No.: 12, pp 1–13https://doi.org/10.1145/3099564.3099567The use of deep reinforcement learning allows for high-dimensional state descriptors, but little is known about how the choice of action representation impacts learning and the resulting performance. We compare the impact of four different action ...
- research-articleOctober 2016
Deep-based Ingredient Recognition for Cooking Recipe Retrieval
MM '16: Proceedings of the 24th ACM international conference on MultimediaOctober 2016, pp 32–41https://doi.org/10.1145/2964284.2964315Retrieving recipes corresponding to given dish pictures facilitates the estimation of nutrition facts, which is crucial to various health relevant applications. The current approaches mostly focus on recognition of food category based on global dish ...
- research-articleAugust 2016
Contextual Intent Tracking for Personal Assistants
KDD '16: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data MiningAugust 2016, pp 273–282https://doi.org/10.1145/2939672.2939676A new paradigm of recommendation is emerging in intelligent personal assistants such as Apple's Siri, Google Now, and Microsoft Cortana, which recommends "the right information at the right time" and proactively helps you "get things done". This type of ...
