Differences

This shows you the differences between two versions of the page.

--- projects [2016/11/04 14:56] – hj
+++ projects [2018/01/12 16:28] (current) – hj
@@ Line 1: / Line 1: @@
-   *  **{{:project1.pdf|Project one}}**
+   *  **Project one**   (extended to Nov 18)
-   *   **Project Two**: (Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc.  It is expected to be 6-8 pages ( double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc.)
+   *   **Project Two**: Your project 2 report will be submitted as a CS conference paper. You may use any latex temple from CVPR, ACL, ICML, etc.  It is expected to be 6-8 pages (double-columned). I will mark your report as a conference reviewer based on format, writing style, work quality, extra additions to the existing methods, etc..
-      - **Hemanth Pidaparthy**: use CNNs + LSTMs for object detection
+      - **Hemanth Pidaparthy**: Image retrieval using SIFT or HOG features and auto-encoders
-      - **Yifan Li**: group-level mobility modelling with Markov models
+      - **Yifan Li**: Group-level mobility modelling with Markov models
-      - **Feng Wei**: using neural networks for entity linking
+      - **Feng Wei**: Using neural networks for entity linking
-      - **Hao Li**: learning char-level neural networks for morphology
+      - **Hao Li**: Learning char-level neural networks for morphology
-      - **Jack Wu**: learning neural networks for arithmetic operations
+      - **Jack Wu**: Learning neural networks for arithmetic operations
-      - **Chao Wang**: building end-to-end conversation models using neural networks
+      - **Chao Wang**: Building end-to-end conversation models using neural networks
+      - **Leihan Chen**: Image segmentation through conditional random fields
+      - **Meng Jia**: Using neural networks to predict depth from video frames
+      - **Mahdieh Abbaszadegan**: HMM-based 2D Basecalling using MinION sequencers
+      - **Eunkyung Park**: Using topic models for trend analysis from news articles
+      - **Yangguang Li**: Studying various machine learning methods for software bug prediction
+      - **Matthew Tesfaldet**: CNN-based static and dynamic texture synthesize
+      - **Gong Cheng**: Studying various learning methods for texture classification
+      - **Po Wu**: Person re-identification via metric learning