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Found 9 papers, 0 papers with code
Efficient Construction of Nonlinear Models over Normalized Data
For the case of NN, we propose algorithms to train the network taking normalized data as the input.
MPE: A Mobility Pattern Embedding Model for Predicting Next Locations
The wide spread use of positioning and photographing devices gives rise to a deluge of traffic trajectory data (e. g., vehicle passage records and taxi trajectory data), with each record having at least three attributes: object ID, location ID, and time-stamp.
NLPMM: a Next Location Predictor with Markov Modeling
In this paper, we solve the problem of predicting the next locations of the moving objects with a historical dataset of trajectories.
PCNN: Deep Convolutional Networks for Short-term Traffic Congestion Prediction
Experimental results on a real-world urban traffic dataset confirm that folding time series data into a two-dimensional matrix is effective and PCNN outperforms the baselines significantly for the task of short-term congestion prediction.
Eating Healthier: Exploring Nutrition Information for Healthier Recipe Recommendation
In this paper we propose a novel framework named NutRec, which models the interactions between ingredients and their proportions within recipes for the purpose of offering healthy recommendation.
TTDM: A Travel Time Difference Model for Next Location Prediction
In particular, we propose a novel method, called Travel Time Difference Model (TTDM), which exploits the difference between the shortest travel time and the actual travel time to predict next locations.
TraLFM: Latent Factor Modeling of Traffic Trajectory Data
The widespread use of positioning devices (e. g., GPS) has given rise to a vast body of human movement data, often in the form of trajectories.
Evaluating Temporal Queries Over Video Feeds
We propose two techniques, MFS and SSG, to organize all detected objects in the intermediate data generation layer, which effectively, given the queries, minimizes the number of objects and frames that have to be considered during query evaluation.
Pressure-driven switching of magnetism in layered CrCl3
Layered transition-metal compounds with controllable magnetic behaviors provide many fascinating opportunities for the fabrication of high-performance magneto-electric and spintronic devices.
Materials Science
