Paper Reading: View Direction and Bandwidth Adaptive 360 Degree Video Streaming using a Two-Tier System

Original paper: Each segment is coded as a base-tier (BT) chunk, and multiple enhancement-tier (ET) chunks. BT chunks: represent the entire 360 view at a low bit rate and are pre-fetched in a long display buffer to smooth the network jitters effectively and guarantee that any desired FOV can be rendered with minimum stalls. ET … Read morePaper Reading: View Direction and Bandwidth Adaptive 360 Degree Video Streaming using a Two-Tier System

03102018

Gensim Tutorial: https://radimrehurek.com/gensim/models/word2vec.html Use google-news model as pre-trained model clustering based on distance matrix Question: how do we do the clustering? should cluster on the keywords? should cluster on the keywords-related words? Leg dissection demo: 18 cameras 30frames 10G 5 cameras 100 frames 6G Question: what is our task? we cannot change focal length now. … Read more03102018

The test speed of neural network?

Basically, the time spent on testing depends on: the complexity of the neural network For example, the fastest network should be the fully-connected network. CNN should be faster than LSTM because LSTM is sequential (sequential = slow) Currently, there are many ways to compress deep learning model (remove nodes with lighter weight) the complexity of … Read moreThe test speed of neural network?

Commonly Used Variables in Falcor

532. K-diff Pairs in an Array

Description: https://leetcode.com/problems/k-diff-pairs-in-an-array/description Code:

Time & Space: O(nlog(n)) & O(n)

217. Contains Duplicate

Description: https://leetcode.com/problems/contains-duplicate/#/description Algorithm: Use sort, very easy Don’t use sort, use a array to record the appearance of words. If a word appears for more than 1 times, return true. Code1: class Solution { public: bool containsDuplicate(vector<int>& nums) { if (nums.size() < 2) return false; sort(nums.begin(), nums.end()); for (int i = 0; i < nums.size() … Read more217. Contains Duplicate